Employment opportunities, postdoctoral positions, summer jobs

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Full Professor (W3) in General / Computational Linguistics at University of Tübingen, Germany

  • Employer: University of Tübingen
  • Title: Full Professor (W3)
  • Specialty: General and Computational Linguistics
  • Location: Tübingen, Germany
  • Deadline: June 20 2024
  • Date posted: May 25 2024
  • Application Website: https://berufungen.uni-tuebingen.de/

Position Description

The Faculty of Humanities at the University of Tübingen invites applications for a position at the Institute of Linguistics as a

W3 (Full) Professor of General / Computational Linguistics

to commence as soon as possible.

The future job holder must be excellently qualified in research in the field of general / computational linguistics, evidenced by relevant publications in leading journals and conference proceedings.

Proven excellence in research using current computational linguistic methods is expected. Experience with linguistically informed data formats is desirable.

Since the professorship plays a leading role in the partly international Bachelor and Master programs Computational Linguistics, General Linguistics and Cognitive Science, the future position holder needs to be able to represent the full bandwidth of Computational Linguistics including its interdisciplinary connections with General Linguistics and Cognitive Science.

The successful candidate must be willing to acquire third-party funding and to participate in collaborative interdisciplinary third-party funded projects at the University.

Required qualifications include a PhD or equivalent degree as well as postdoctoral qualifications and teaching experience equivalent to the requirements of a full professorship.

The University of Tübingen is committed to equal opportunity, diversity and inclusion. Female scientists, in particular, are explicitly invited to apply, as are applicants from outside Germany.

Applications from equally qualified candidates with disabilities will be given preference.

General information on professorships, hiring processes, and the German academic system can be found here: https://uni-tuebingen.de/en/213700

Applications including all required documents (curriculum vitae and outline of academic career, copies of certificates and degrees, publications list, list of teaching experience (and teaching evaluations, if available), overview of established and planned research focus) as well as a selection of relevant publications (monographs authored and five articles) should be submitted via the appointment portal of the University of Tübingen at https://berufungen.uni-tuebingen.de by June 20, 2024. Enquiries can be directed to the Dean of the Faculty of Humanities, Prof. Dr. Dietmar Till (berufungen@philosophie.uni-tuebingen.de).


Ph.D. (funded) & Postdoc Positions in Legal NLP at the Technical University of Munich, Germany

  • Employer: Technical University of Munich
  • Title: PhD / Postdoc
  • Speciality: Natural Language Processing on Legal Text
  • Location: Munich, Germany
  • Deadline: May 31, 2024, or until filled
  • Date posted: 21 May, 2024
  • Contact: Matthias Grabmair <matthias.grabmair@tum.de>

Brief Project Description: Research, Development, and Evaluation of Large Language Models for the German legal domain, including work on a specialized LLM for the German judiciary in collaboration with two state justice ministries

More Detailed Position Description

The nascent TUM Legal Tech working group at the TUM Department of Informatics conducts research and development around the application of methods from artificial intelligence, machine learning, data science, natural language processing, and knowledge engineering towards solving tasks and problems arising in the practice of law and public administration. The position's primary focus will be developing (i.e., pre-train, fine-tune, evaluate) a custom German law-focused LLM in collaboration with the state justice ministries of Bavaria and Northrhine-Westphalia, and the University of Cologne Law School. We are also surveying the use of LLMs in the legislative process in a project funded by the German Federal finance ministry. Additional topical projects may be available, and we expect some participation in teaching and student mentoring. Applicants should have a strong academic background in Computer Science or Computational Linguistics, be proficient neural network developers, and enthusiastic about collabroative interdisciplinary work with practical relevance. Fluency in German is required given the topical focus.

Salary: German TV-L E13 Level

The initial contract is for 18 months with the option to renew given positive evaluation

More details available at: https://www.cs.cit.tum.de/lt/open-positions/

Research Assistant/Associate at the University of Glasgow, UK

  • Employer: University of Glasgow
  • Title: Research Assistant/Associate
  • Speciality: Natural language processing, information extraction, biomedical sciences
  • Location: Glasgow, United Kingdom
  • Deadline: 6 June, 2024
  • Date posted: 13 May, 2024
  • Contact: Jake Lever <jake.lever@glasgow.ac.uk>

Fast summary of the project:

Using machine learning to automatically read cancer research papers to help catalogue the meaning of different cancer mutations and how they may affect patients’ treatments

Slightly longer description about the project

Modern DNA sequencing technologies enable us to probe the genetics of individual cancers. Each cancer is unique and can have a multitude of mutations. However, understanding the importance and impact of each of those mutations is hugely challenging and relies heavily on searching the research literature. The CIViC database, managed by the Griffith Lab at Washington University at St Louis, collates this knowledge on cancer mutations from research papers for fast searching by clinicians and researchers worldwide. However, keeping it up to date involves a lot of human effort to read the latest research. The collaboration with Glasgow will enable the latest innovations in language technologies to be applied to automatically process research papers and flag relevant research useful for the CIViC database. This will involve development of natural language processing techniques to identify mentions of mutations and cancers and their associations. No background knowledge of biology/medicine is required.

Salary: Grade 6 (£32,332 - £36,024) / Grade 7 (£39,347 - £44,263)

The contract is for two years with the potential for renewal.

More details available at: https://www.jobs.ac.uk/job/DHO579/research-assistant-associate

Postdoctoral Researcher in NLP, Bocconi University, Italy

  • Employer: Bocconi University, Milan, Italy
  • Title: Postdoctoral Researcher
  • Speciality: NLP
  • Starting date: Sept 1 2024, or any time thereafter
  • Duration: 2 years
  • Deadline: 30th May 2024
  • Salary: Competitive salary. Applicants from outside Italy may qualify for a researcher taxation scheme
  • Date posted: 3rd May 2024
  • Contact: <Debora Nozza> (website)

We are seeking highly motivated and talented individuals to join our research team as Postdoctoral Researchers in the field of Natural Language Processing. The position offers an exciting opportunity to investigate the computational and algorithmic aspects underlying modern Artificial Intelligence systems, with a specific focus on the personalized and subjective approaches to Natural Language Processing. Successful candidates will work closely with Prof. Debora Nozza, Prof. Dirk Hovy, and the MilaNLP lab.

Your profile:

  • a Ph.D. in Computer Science, Computational Linguistics/NLP, Machine Learning, Data Science, or related fields.
  • Excellent programming skills in Python.
  • Fluency in spoken and written English. Knowledge of Italian is NOT a requirement.
  • Knowledge of current neural network models and implementation tools for neural networks (e.g., PyTorch).
  • Experience with publications in top-tier venues in the field of NLP/Computational Linguistics.

HOW TO APPLY:

Go to the Bocconi postdoc job market page [1]. Candidates should attach CV and a cover letter to their application.

Online interviews will take place during June 2024. Please contact <Debora Nozza> if you have any questions.


Faculty Positions at Johannes Kepler University Linz, Austria / Human-centered AI and Multimedia Mining and Search Group

  • Employer: Johannes Kepler University Linz, [2]
  • Title: Multiple PhD student positions
  • Speciality: Machine/Deep Learning, Recommender Systems, Information Retrieval, Language Models
  • Location: Linz, Austria
  • Date posted: 1 May, 2024
  • Contact: Markus Schedl (markus.schedl@jku)

University Positions at Predoc and Postdoc Level

We have openings for Assistant Professor (postdoc, non-tenure-track, up to 6 years) and University Assistant (predoc, up to 4 years) positions.

Our team at the Human-centered AI and Multimedia Mining and Search Group [3] is dedicated to creating AI technology that puts the human in the focus, still building on a solid technical foundation. We conduct cutting-edge research on topics such as recommender systems, multimedia information retrieval, natural language processing (including LLMs), deep learning, and trustworthy AI (focusing on fairness, explainability, and privacy).

If you possess a strong background in one or more of the aforementioned areas, please contact Markus Schedl (markus.schedl@jku.at) and include the following documents when applying:

  • Detailed curriculum vitae
  • List of publications
  • List of teaching and supervision activities
  • Certificates (including English translations)
  • 1-2 articles (PDFs) you deem particularly strong or representative of your research
  • Statement of research interests (max. one page)


Official job announcements and applications:


A postdoc position in NLP at the University of Tartu, Estonia

  • Employer: Institute of Computer Science, University of Tartu [4]
  • Title: Researcher in natural language processing
  • Speciality: Natural language processing, psychology
  • Location: Tartu, Estonia
  • Deadline: 1 April, 2024
  • Date posted: 12 March, 2024
  • Contact: Kairit Sirts (kairit.sirts@ut.ee)

‘’’Postdoc position in NLP’’’

Applications are invited for a postdoctoral fellowship with the TartuNLP lab in the Institute of Computer Science at the University of Tartu. The funding for the position is provided by the recently established Estonian Centre of Excellence in AI (EXAI), which gathers various research teams from several Estonian research institutions.

The successful candidate will work with Kairit Sirts on AI-related projects at the interface between natural language processing (mainly using large language model technology) and psychology with the goal of developing chatbots for supporting mental health. The candidate will also participate with their NLP expertise in collaborative projects with other teams that are part of the EXAI.

The suitable candidate has a PhD in natural language processing, artificial intelligence, computer science, or other relevant discipline. They should have a good research and publication track record in NLP. Interest in psychology or mental health related topics is a bonus.

More info about the job offer, application process and the requirements: [5]

All questions related to the position should be sent to Dr. Kairit Sirts (kairit.sirts@ut.ee).

Multiple PhD positions in deep learning for NLP and neuroscience at Idiap, Switzerland

  • Employer: Idiap Research Institute, [6]
  • Title: Multiple PhD student positions
  • Speciality: Machine Learning, Natural Language Understanding, Neuroscience
  • Location: Martigny, Switzerland
  • Deadline: 31 March, 2024
  • Date posted: 8 March, 2024
  • Contact: James Henderson (james.henderson@idiap.ch)

Multiple PhD positions

The Idiap Research Institute seeks qualified candidates for three PhD student positions in deep learning for natural language, one focussing on neuroscience and two focussing on representation learning. These researchers will work with Dr. James Henderson in the Natural Language Understanding group [7].

Idiap offers competitive salaries, a beautiful location, and a world-class AI research community. PhD students are registered at EPFL. The two researchers in representation learning for NLP will be part of a Swiss NSF project building on our recent Bayesian extension of Transformers. The researcher in deep learning and the neuroscience of language will work also in collaboration with Dr. Itsaso Olasagasti of Univ. Geneva's Fundamental Neuroscience Dept and Dr. Phil Garner of Idiap, and will benefit from visits to Campus Biotech in Geneva. This position is part of the Swiss center of excellence (NCCR) project: Evolving Language.

The ideal PhD candidates should hold a Masters degree in computer science, artificial intelligence, computational neuroscience, or related fields. She or he should have a background in machine learning, and experience in natural language processing or computational neuroscience would be a plus. The applicant should also have strong mathematical and programming skills.

Please apply on the Idiap jobs site at [8]. All questions related to these positions should be sent to Dr. James Henderson (james.henderson@idiap.ch).


Postdoctoral Researcher in Natural Language Processing for Homeland Security - University of Central Florida

  • Employer: University of Central Florida
  • Title: Postdoctoral Researcher
  • Specialty: Natural Language Processing
  • Location: Orlando, Florida
  • Date posted: 01/18/2024
  • Application Email: adan.vela@ucf.edu (Subject: POST-DOC Election Violence)

Description

In partnership with the DHS National Counterterrorism Innovation, Technology, and Education (NCITE) Center of Excellence at UNO and collaborators at Temple University we are seeking a postdoctoral researcher on a high-exposure project related to online extremism and the transition to real-world violence.

Using NLP and Machine Learning techniques we are seeking to develop a real-time analytics system to monitor online discourse with the end-goal of estimating the threat-level faced by government officials, institutions, and other non-public persons (esp. elections officials). Related extensions of this extremism research seeks to assess the threat-risk to other targeted groups and to map the online space of violent anti-government groups and violent hate groups.

For post-doctoral candidates targeting an academic posting our team of faculty will actively support you in this endeavor through a "post-doc first" posture, while actively facilitating connections and meaningful partnerships with our CoPIs at Gatech, Nebraska, Temple, and elsewhere. Support does not just come from project PIs but the whole Industrial Engineering department at UCF - through such joint efforts we have successfully placed a number of post-docs in tenure-track faculty positions.

Accordingly, responsibilities will include leading the execution of research efforts, mentorship of students, publications/presentations, and proposal writing. Teaching opportunities are available if desired.

Qualifications

Candidates should have a background in Natural Language Processing and Machine Learning, and feel comfortable working with LLMs and developing sentiment classifiers. Strong candidates will have an understanding of US politics and extremism. As an interdisciplinary project with Criminology, in additional to computational methods, the candidate will leverage large scale annotation through MTurk/Prolific in combination with qualitative coding techniques.

Application Instructions

Interested candidates should apply by sending their CV to adan.vela@ucf.edu (Subject: POST-DOC Election Violence). Applications will be reviewed until the position is filled....ideally, well before the 2024 election!

iCASE EPSRC funded PhD - multimodal NLP - University of Manchester & BAE

  • Employer: University of Manchester & BAE
  • Title: PhD in multimodal NLP for model-based systems engineering
  • Specialty: Natural Language Processing, Large Language Models, Model-Based Systems Engineering
  • Location: Manchester, UK
  • Deadline: January 26, 2024
  • Date posted: December 20, 2023
  • Application Website: https://www.se.manchester.ac.uk/phds-science-engineering/

We are seeking an enthusiastic PhD candidate to work in multimodal NLP for model-based systems engineering.

Details

This project is funded by the EPSRC iCASE (sponsored by BAE Systems) to conduct research in the area of multimodal natural language processing (NLP) for model-based systems engineering based on Large Language Models (LLMs). LLMs have demonstrated a remarkable ability to generate text when presented with images, text, audio and video as input. They are able to achieve higher performance than traditional neural methods and pre-trained language models, without the need for supervised training.

The project will examine different approaches to multimodal LLM-based NLP to address complex and fine-grained tasks such as reasoning in model-based systems engineering. The PhD will delve into LLM architectures, data augmentation methods, multi-task and domain-specific LLMs, prompting engineering and interpretability.

The candidate will have the opportunity to work with experts at BAE to gain experience in the practical application of model-based systems engineering. The candidate will join the world-class teams of Prof. S. Ananiadou (Computer Science and National Centre for Text Mining, Natural Language Processing, LLMs) and Prof. H. Yin (Electrical and Electronic Engineering, Deep Learning, Computer Vision).

Requirements

You will have a very good undergraduate degree in Computer Science (minimum 2:1 UK or equivalent for EU students). Experience and knowledge of NLP, multimodal LLMs, Ontologies, Semantic Web, Computer Aided Engineering (CAE) and Model-Based Systems Engineering (MBSE) tools and technology will be considered as an advantage.

The successful candidate must be capable of obtaining UK security clearance to fulfil any onsite industrial placement at the location of the host site.

Research Environment in Host Institution

The Department of Computer Science at the University of Manchester (UoM) is in the unique position of hosting the National Centre for Text Mining (NaCTeM), the first publicly funded centre for text mining in the world, focusing on fundamental research in Natural Language Processing (LLMs, interpretability, information extraction) in a variety of domains. Besides NaCTeM, academic expertise in AI is spread across a number of other institutes including the Institute for Data Science and AI (IDSAI), the Centre for AI Fundamentals and partnerships with the Alan Turing Institute and the European Laboratory for Learning and Intelligent Systems (ELLIS).

BAE Systems

BAE Systems provides some of the world's most advanced, technology-led defence, aerospace and security solutions. They employ a skilled workforce of more than 93,000 people in around 40 countries. Working with customers and local partners, they develop, engineer, manufacture, and support products and systems to deliver military capability, protect national security and people, and keep critical information and infrastructure secure.

Before you apply

We strongly recommend that you contact the supervisors of this project prior to application.

How to apply

To be considered for this project, you will need to complete a formal application through our online application portal [9] by the 26th of January 2024.

When applying, you will need to specify the full name of this project, the name of your supervisor, how you are planning to fund your research, details of your previous studies, and the names and contact details of two referees.

Please also send the following to Prof. Sophia Ananiadou (Sophia.ananiadou@manchester.ac.uk) and Prof. Hujun Yin (hujun.yin@manchester.ac.uk):

  • Cover letter and full CV
  • Full degree transcripts and relevant certificates

Candidates will be shortlisted by a panel comprising members of UoM and BAE Systems. Selected candidates will be invited to give a presentation followed by a formal interview. The interviews will be held during the week of 29th January 2024.

Your application will not be processed unless all of the required documents are submitted at the time of application, and we cannot accept responsibility for late or missed deadlines. Incomplete applications will not be considered.

If you have any questions about making an application, please contact our admissions team by emailing FSE.doctoralacademy.admissions@manchester.ac.uk.

Equality, diversity and inclusion [10] is fundamental to the success of The University of Manchester, and is at the heart of all of our activities. We know that diversity strengthens our research community, leading to enhanced research creativity, productivity and quality, and societal and economic impact.

We actively encourage applicants from diverse career paths and backgrounds and from all sections of the community, regardless of age, disability, ethnicity, gender, gender expression, sexual orientation and transgender status.

We also support applications from those returning from a career break or other roles. We will consider offering flexible study arrangements (including part-time: 50%, 60% or 80%, depending on the project/funder).

Funding Notes

This project is funded through EPSRC iCASE (with BAE Systems). The project will pay the tuition fees and provide a tax free stipend set at the UKRI rate (£18,622). We are able to offer a limited number of studentships to applicants outside the UK. Therefore, full studentships will only be awarded to exceptional quality candidates, due to the competitive nature of this scheme. Additional research funds will be available.

Postdoctoral Researcher in NLP for Computational Social Science - Bocconi University

  • Employer: Bocconi University
  • Title: Postdoctoral Researcher
  • Specialty: NLP for Computational Social Science
  • Location: Milan, Italy
  • Deadline: 2024-01-31
  • Starting date: 2024-03-01 or anytime thereafter
  • Date posted: 2023-11-28
  • Contact: Kai Zhu (kai.zhu@unibocconi.it)


Description

We are seeking a Postdoctoral researcher at Bocconi University in computational social science, emphasizing natural language processing (NLP) and societal impact of the media ecosystem. This position is a unique opportunity to work on projects that explore the interplay between social media and mass media in shaping public narratives and collective attention. The successful candidate will work closely with Prof. Kai Zhu and Prof. Dirk Hovy, and will have the opportunity to be part of the MilaNLP Lab and BIDSA research center.

Project Overview

  • Title: Exploring Societal Impact of Media Ecosystem
  • Duration: 21 months
  • Total compensation: 87,500 Euro
  • Research Focus: Investigating the dynamic relationship between social media discussions, mass media coverage, and collective attention/public attitude toward social issues
  • Unique Dataset: The candidate will have the opportunity to work on large-scale data capturing text transcripts from more than 800 national and local television channels across all 210 Designated Market Areas (DMAs) in the United States, spanning from January 2013 to August 2022. This dataset includes over 10 million hours of television broadcasting and over 60 billion words, covering news, sports, entertainment, commercials, and educational content. It uniquely includes content from local channels tailored to specific regional interests and concerns.

Responsibilities

  • Process and analyze the large-scale TV content transcript dataset, focusing on extracting meaningful insights relevant to social issues.
  • Collaborate with a multidisciplinary team and contribute to the development of innovative models to understand the role of media in shaping social issues.
  • The candidate is encouraged to create new projects based on the available dataset and demonstrate innovation and independence in their academic research. This includes formulating original research questions, developing novel methodologies, and contributing unique insights to the field.

Qualifications

  • Experience with Large-Scale Text Data: Demonstrated experience in handling and analyzing large-scale text datasets, including data preprocessing and text mining.
  • Expertise in NLP: Solid training in NLP, including experience with modern techniques and models.
  • Interest in Computational Social Science: Keen interest in applying NLP to social science questions, particularly in analyzing the interplay between social and mass media in shaping social issues.

Application Instructions

Interested candidates should submit 1) a detailed CV, 2) a cover letter outlining research interests and career goals, 3) a paper sample of your choice. To submit your application, please go to the Bocconi postdoc job market page and search for “EXPLORING SOCIETAL IMPACT OF MEDIA ECOSYSTEM”. For any questions, please email Kai Zhu at kai.zhu@unibocconi.it.

Postdoctoral Researcher in Large Language Models - Jackson State University

  • Employer: Jackson State University
  • Title: Postdoctoral Researcher
  • Specialty: Large Language Models (LLMs)
  • Location: Jackson, Mississippi
  • Date posted: 11/20/2023
  • Application Email: wei.zheng@jsums.edu (Subject: POST-DOC)

Description

We are searching for a highly motivated candidate to join our interdisciplinary research team as a Postdoctoral Researcher focused on applying NLP and LLMs to improve support for personalized teaching and learning.

Responsibilities include leading innovative NLP and LLM research projects, publishing in conferences and journals, advising and mentoring students, engaging in outreach activities.

This three-year position will provide unique opportunities to contribute to cutting-edge interdisciplinary research at the intersection of natural language processing, artificial intelligence, and pedagogy. You will collaborate closely with researchers from diverse academic backgrounds to conduct meaningful work within education and other fields. Through disseminating findings in peer-reviewed publications and conferences, advising students, and engaging broader communities, you will develop experience and skills that strengthen your competitiveness for an academic faculty career or similar roles requiring success in competitive grant writing. This role allows you to make an impact across disciplines while also investing in your long-term professional growth and career trajectory.

Qualifications

Candidates must have a Ph.D. in Computer Science, Data Science, or a related field with a strong background in LLM pre-training/fine-tuning. Excellent communication and collaborative skills are essential.

Application Instructions

Interested candidates should apply by sending their CV, cover letter, and three references to wei.zheng@jsums.edu (Subject: POST-DOC). Applications will be reviewed until the position is filled.


Multiple Tenure-Line Faculty Positions in AI and Computing - DePaul University, Jarvis College of Computing and Digital Media

  • Employer: DePaul University, Jarvis College of Computing and Digital Media, School of Computing
  • Website: https://www.cdm.depaul.edu
  • Title: Assistant/Associate Professor
  • Specialty: Core AI (including NLP), cybersecurity, information systems, computer systems, software engineering
  • Location: Chicago, IL, USA
  • Date posted: November 8 2023
  • Application Website: https://apply.interfolio.com/135229

Description

The School of Computing at DePaul University invites applications for multiple tenure-track positions at the level of assistant or associate professor. We are particularly interested in candidates in core AI (e.g., AI foundation models, machine learning, natural language processing, responsible AI), cybersecurity (e.g., forensics, cloud security, usable security, human-centered cybersecurity), information systems (e.g., process modeling, enterprise cloud computing, BI systems), computer systems (e.g., cloud computing, virtualization, data-intensive systems), and software engineering: (e.g., software design and architecture, quality assurance and testing, software safety and security, agile and DevOps methodologies).

The School of Computing includes over 74 full-time faculty and more than 3,600 undergraduate and graduate students. We offer a PhD program, 12 master's degrees, and 9 bachelor’s degrees. The School of Computing is committed to providing a flexible and supportive environment for its faculty, promoting a rewarding academic career with a balance between teaching and research. Located in the heart of Chicago’s vibrant downtown, it offers vast opportunities to forge relationships with industry, national laboratories, universities, and other organizations in the Chicago area.

The School of Computing has several centers of excellence, including Big Data, Cloud Infrastructure, and High-Performance Computing; Visual Computing, Medical Informatics, and Bioinformatics; Web Intelligence and Recommender Systems; Computing Education; Interactive Machine Learning; Cybersecurity and Adversarial Machine Learning; Computational Geometry and Topology; Next Generation Networks; Rehabilitation Robotics; and Semantics. Over the last decade, the school faculty have secured more than $13.4M in NSF funding and consistently publish in selective conferences. The culture within the school emphasizes high-impact and high-quality research, rather than placing pressure on faculty to secure external funding or publish many papers. Nonetheless, the university provides extensive support for external funding, as well as a robust internal research grants program, including PhD stipends, graduate assistantships and course releases.

DePaul draws students of many backgrounds and cultures in a diverse urban setting. We are interested in recruiting and maintaining a diverse faculty. Members of all underrepresented groups, women, veterans, and persons with disabilities are invited and encouraged to apply. DePaul University offers equal employment opportunities to all persons in accordance with applicable federal, state, and local EEO laws. Positions are contingent upon available budgetary resources.


Qualifications

Applicants should have a PhD degree in Computer Science, Information Systems, Computer or Electrical Engineering, or a related field.


Application Instructions

Review of applications will begin on November 5, 2023 and continue until the positions are filled.

The application must include: a curriculum vitae; at least three letters of recommendation; a research statement, highlighting both current and future directions of research; a teaching statement; and a diversity statement, addressing the candidate's values, experiences and future plans concerning diversity, equity, and inclusion.

For more information, contact James Riely (jriely@cs.depaul.edu).


Equal Employment Opportunity Statement

EEO Statement

DePaul University is an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, ethnicity, religion, sex, sexual orientation, gender identity, national origin, age, martial status, physical or mental disability, protected veteran status, genetic information or any other legally protected status, in accordance with applicable federal, state and local EEO laws.

Safety and Security Statement - Clery Act

A copy of DePaul University's Safety and Security Information Report and Fire Safety Report is available upon request. The report includes statistics about crimes that occurred on campus and public property immediately adjacent to campus. The report includes institutional policies concerning campus security, sexual assault and other matters. It also includes fire statistics, fire safety practices and standards of the institution. A copy of this report can be obtained by contacting the Crime Prevention Office at 773-325-7775 or by visiting the DePaul Public Safety website at http://publicsafety.depaul.edu .

Title IX Statement

Federal Title IX policy requires that all colleges and universities make known the contact information for the person responsible for coordinating its efforts to comply with Title IX responsibilities. At DePaul University, the Interim Title IX Coordinator is Kimberlie Goldsberry. Her office is located in Lincoln Park on the 3rd floor of the Student Center, 2250 N. Sheffield Avenue. She can be reached at 312-362-8970, or titleixcoordinator@depaul.edu.

Required Background Check

Employment at DePaul University is contingent on passing a background check. Only final candidates who are extended an offer of employment will undergo a background check.

Mandated Reporting of Child Abuse & Neglect

Upon accepting an offer of employment with the university, you will also be required to sign an Acknowledgement of Mandated Reporter Status at the time of hire. A mandated reporter is required to make a report to the Illinois DCFS Hotline whenever there is a reasonable cause to believe that a child known to them in their professional or official capacity may be abused or neglected. For more information, please visit the following pages:

Illinois Department of Children & Family Services (DCFS): https://www2.illinois.gov/dcfs/pages/default.aspx#xd_co_f=ZGE5YjZmYTEtNTBjNi00YzRhLWE4OGEtMDFhOTRlZTBmYTE3~

Illinois Abused and Neglected Child Reporting Act: https://www.ilga.gov/legislation/ilcs/ilcs3.asp?ActID=1460&ChapterID=32


Full-time Faculty Position in Computational Linguistics or Natural Language Processing - Brigham Young University, Department of Linguistics

Experience: The Department of Linguistics at Brigham Young University is excited to announce a position for a full-time faculty position in the field of linguistics encouraging those at any career stage to apply. This position, with a 'continuing faculty status' (CFS), similar to tenure-track, entails teaching courses aimed at linguistics majors, minors, and Master's students, especially those interested in computational linguistics and natural language processing. Our department's Linguistic Computing minor offers students foundational knowledge and tools to apply computational techniques to natural language. Thus, all candidates should be capable of teaching key courses in computational linguistics or natural language processing in addition to other areas of linguistics. The Department of Linguistics provides a supportive, collaborative atmosphere that contributes to the development of faculty research agendas in a range of areas.

Duties/Expectations: Under a 10-month contract, primary responsibilities include:

  • Teaching six courses annually, predominantly within the Linguistics major and Linguistic Computing minor but also possibly in other department programs (https://ling.byu.edu/all-programs)
  • Conducting original research and disseminating that research in reputable journals, books, conferences, or other scholarly outlets
  • Mentoring students in linguistic research, research presentations, peer-reviewed article publication, and grant writing
  • Contributing to other departmental and college duties, including student advising, thesis chairing, program coordination, committee service, and shared governance

All candidates must have:

  • Proficiency to teach core linguistics courses including courses in the Linguistics Computing minor (https://catalog.byu.edu/programs/34635)
  • Evident potential for or substantiated record of scholarly research and/or a well-defined research agenda
  • Commitment to mentoring students effectively in and out of class
  • Willingness to support student faith through obvious commitment to the religious expectations of the sponsoring institution, The Church of Jesus Christ of Latter-day Saints

Ideal candidates have some of the following:

  • Industry experience in computational linguistics
  • Ability to contribute to linguistics thesis committees (as reader and/or chair)
  • Ability to bridge personal scholarship with linguistics
  • Keenness to collaborate with students on diverse research projects, both faculty-led and student-driven

Starting rank and salary commensurate with qualifications and experience.

Information required at the time of application Please list the individual contact information for each of your three recommenders on the faculty application. At some point during the selection process, they may be contacted to submit their letters of reference electronically.

Document(s) required at the time of application Please attach your Mission Alignment Statement, updated Curriculum Vitae, and cover letter to the faculty application.

Mission Alignment Statement: BYU is committed to hiring faculty members who enthusiastically embrace and energetically advance its unique mission. To this end, please include a one-page mission alignment statement as part of your application that addresses how you might, as a BYU faculty member: (1) live a life of loyalty to Jesus Christ and His restored Church and align yourself with doctrines and teachings declared by living prophets, seers, and revelators; (2) demonstrate intentionality in building faith in Jesus Christ and testimony of His restored gospel among students and others in the BYU community; and (3) teach your subject matter with the Spirit of God and strive to keep it "bathed in the light and color of the restored gospel" (Spencer W. Kimball).

Applicants who are not members of The Church of Jesus Christ of Latter-day Saints should include a one-page mission alignment statement that describes understanding of and commitment to the Mission of Brigham Young University and the AIMS of a BYU Education (https://aims.byu.edu/).

  1. LI-DNI

Equal Opportunity Employer: m/f/Vets/Disability

Brigham Young University is an equal opportunity employer. All faculty are required to abide by the university's Honor Code and Dress & Grooming Standards. Preference is given to qualified candidates who are members in good standing of the affiliated church, The Church of Jesus Christ of Latter-day Saints. Successful candidates are expected to support and contribute to the academic and religious missions of the university within the context of the principles and doctrine of the affiliated church.

All new employees who are members of The Church of Jesus Christ of Latter-day Saints will be required to hold and be worthy to hold a current temple recommend.


Tenure-Track or Tenured Faculty Position in AI for Science and Society - University of Michigan, School of Information

  • Employer: University of Michigan
  • Title: Assistant/Associate/Full Professor
  • Specialty: AI for Science and Society
  • Location: Ann Arbor, MI
  • Deadline: December 01 2023
  • Date posted: November 2 2023
  • Application Website: https://apply.interfolio.com/135664

The University of Michigan School of Information (UMSI) in Ann Arbor, Michigan seeks qualified tenure-track assistant, associate, or full professor in the field of AI for Science and Society. We are particularly interested in candidates building and applying novel AI approaches (e.g., generative models) in transformative research of science and society. This includes areas such as education, behavioral sciences, healthcare, future of work, digital humanities, public policy, social sciences, and other disciplines that are aligned with UMSI’s research landscape. Candidates are expected to be able to teach residential and/or online courses related to applied data science and generative AI.

The successful candidate should demonstrate strong potential for research in generative AI and funding from external funding agencies. The candidate is also expected to have a strong commitment to teaching and mentoring students from diverse backgrounds.

Job Expectations and Responsibilities: Job duties include research, teaching, and service. Job responsibilities include but are not limited to:

  • Conduct world-class research in generative AI, with a focus on developing new models and applications that have the potential to transform science and society.
  • Seek external funding to support their research program.
  • Teach undergraduate and graduate courses.
  • Mentor undergraduate and graduate students in their research.
  • Serve on UMSI committees and contribute to the school’s mission of teaching, research, and service.

Each contributing member of the UMSI faculty is expected to have teaching effort equivalent to three semester-long courses per year.

About UMSI and UM The mission of the School of Information is to create and share knowledge to help people use information -- with technology -- to build a better world. A successful candidate will be committed to, and will directly contribute to, our goal of being the best research and teaching institution for the understanding and design of information and its technologies in service of people and society.

The School is home to vibrant research and teaching programs, with 74 FTE professors, and over 1,803 students. We offer five degrees: a Ph.D., a Master of Science in Information, a Master of Health Informatics, a Bachelor of Science in Information, and an online Master of Applied Data Science.

Founded in 1817, the University of Michigan has a long and distinguished history as one of the first public universities in the nation. It is one of only two public institutions consistently ranked among the nation's top ten universities. The University has one of the largest health care complexes in the world and one of the best library systems in the United States. With more than $1.53 billion in research expenditures annually, the University has the second largest research expenditure among all universities in the nation. The University has an annual general fund budget of more than $2.3 billion and an endowment valued at more than $12.5 billion. For more information about UMSI, please visit: www.si.umich.edu.

Minimum Qualifications PhD in Computer Science, Information Science, Statistics, Economics, Public Policy, or a related field.

How to Apply: All applicants for this tenure-track or tenured faculty position in Accessibility should submit a cover letter, a vita, three representative publications, evidence of teaching excellence if available, a research statement, a teaching statement, a diversity statement. Applicants at the assistant professor level must submit three letters of recommendation; applicants at the associate and full professor level must submit the names of three recommenders. All application materials must be submitted electronically to : https://apply.interfolio.com/135664

Please direct inquiries about this position to the chair of our faculty search committee, Qiaozhu Mei (qmei@umich.edu). Consideration of applications will begin immediately. Applications must be submitted by Dec. 1, 2023, for consideration as the job posting will close for review.

Background Screening The University of Michigan conducts background checks on all job candidates upon acceptance of a contingent offer and may use a third party administrator to conduct background checks. Background checks will be performed in compliance with the Fair Credit Reporting Act.

U-M EEO/AA Statement The University of Michigan is an equal opportunity/affirmative action employer.


PhD Position on Perspectivism and Disagreement in Natural Language Processing - University of Twente, Netherlands

Do you want to work on Natural Language Processing (NLP) and aspects of fairness and representation in Machine Learning (ML)? We are looking for a highly motivated and curious PhD candidate to join the Industrial Engineering and Business Information Systems (IEBIS) section of the High-tech Business & Entrepreneurship Department (HBE) at the University of Twente in the Netherlands.

ML and NLP approaches and the processes surrounding them often focus on finding a single “truth” or gold standard by majority vote and removing any “outliers”. From the curation of data sets (where we use measurements like inter-annotator agreement as a quality attribute) to the presentation of results (where less favorable options are regularly excluded), different perspectives and disagreements are typically excluded in ML. In reality, such a single truth often does not exist. From the legal to the medical domain, experts often have different opinions. Erasing deviating perspectives and disagreement is not only an untruthful representation of reality, but it can also negatively impact the reliability and usefulness of an ML system. In societal and political debates, having and exchanging different opinions is even one of the defining properties of democratic societies. This PhD project aims to investigate how different opinions of and disagreements between annotators and other sources for “ground truth” can be represented in NLP and leveraged to improve the support that AI systems can provide to their users. The project will consider all steps of the process, from the gathering and annotation of data, the use of the data to train NLP models, to the representation of results.

Responsibilities

During the project, the PhD candidate will perform research on some of the following tasks:

  • Design experiments to create annotated text corpora;
  • Develop new NLP models and approaches using Python and train and fine-tune existing open-source models;
  • Perform intrinsic evaluation of ML models;
  • Apply the insights gained to specific domains of application;
  • Develop software prototypes for performing task-based evaluations.

As a doctoral student, your key responsibilities will be to manage and carry out your research project within 48 months and write a PhD thesis. You will participate in research and training activities and disseminate research in the scientific community (international conferences) and non-scientific community by outreach and public engagement. Furthermore, you will write articles for scientific peer-reviewed journals and progress reports and prepare results for publication and dissemination via public lectures, presentations, and the web. You will also be responsible for taking courses per the research education and liaising with the other research staff, students, and partner institutions working in broad areas relevant to the research project. Participation in other department duties, such as meetings, teaching, etc., is expected to cover a maximum scope of 20%.

Your profile

  • A background in Natural Language Processing;
  • A strong interest in ethical and societal aspects of AI;
  • You hold, or will shortly acquire, a master’s degree in Computer Science, Computational Linguistics, Information Systems, or a related discipline;
  • Demonstrated programming skills in Python, JavaScript or similar languages;
  • First experience with user studies is a plus;
  • Capable of conducting independent research and willing to develop writing and publication skills;
  • Proficient in written and oral English (C1; above IELTS 7 or equivalent);
  • A positive team spirit and enthusiasm for working in an interdisciplinary and internationally oriented environment.

Our offer

We encourage high responsibility and independence, while collaborating with colleagues, researchers, other university staff and partners. We follow the terms of employment by the Dutch Collective Labour Agreement for Universities (CAO). Our offer contains: a full-time 4-year PhD position with a qualifier in the first year; excellent mentorship in a stimulating research environment with excellent facilities; and a personal development program within the Twente Graduate School. It also includes:

  • Gross monthly salary of € 2.770 in the first year, increasing each year up to € 3.539 in the fourth year;
  • Excellent benefits including a holiday allowance of 8% of the gross annual salary, an end-of-year bonus of 8.3%, and a solid pension scheme;
  • 29 holidays per year in case of full-time employment;
  • A training programme as part of the Twente Graduate School where you and your supervisors will determine a plan for a suitable education and supervision;
  • A green campus with free access to sports facilities and an international scientific community;
  • A family-friendly institution that offers parental leave (both paid and unpaid);
  • A full status as an employee at the UT, including pension, health care benefits and good secondary conditions are part of our collective labour agreement CAO-NU for Dutch universities.

How to apply

Are you interested in being part of our team? Please submit your application before the 4th of December and include:

  • A cover letter (maximum 2 pages A4), emphasizing your specific interest, qualifications, and motivations to apply for this position;
  • A Curriculum Vitae, including a list of all courses attended and grades obtained, and, if applicable, a list of publications.

Additional information can be acquired via email from d.braun@utwente.nl.

Selection Process

A first round of speed interviews (max. 30 min, online) is scheduled to take place between the 18th and 22nd of December, invitations will be sent out approximately one week after the application deadline. The final round of interviews will be conducted online in January. The anticipated starting date is from February 2024 onwards, depending on processing times for Visa and administrative processes.


Research Fellow - MATS Winter Cohort in Berkeley, CA

  • Specialty: AI safety, large language models
  • Deadline: November 17, 2023 (or November 10 for Neel Nanda)
  • Date posted: October 31, 2023
  • Application Website: https://www.matsprogram.org

The MATS Winter 2023-24 Cohort has launched! Apply by Nov 17 (or Nov 10 for Neel Nanda).

The ML Alignment & Theory Scholars (MATS) Program is an educational seminar and independent research program. MATS provides talented scholars with talks, workshops, and research mentorship in the field of AI safety, and connects them with the Berkeley AI safety research community.

The program takes place in Berkeley, CA from January 8 to March 17. If you’d like to sign up for program updates and application deadline reminders, fill out our interest form (~1 min)! If you know anyone you’d be excited to see apply to MATS, you can fill out our recommendation form (~1 minute). We’ll reach out to encourage them to apply! Read more about the winter program here.

Assistant/Associate/Full Professor in NLP - Department of Computer Science, University of Colorado Boulder

The Department of Computer Science at the University of Colorado Boulder invites applications for a tenure-track faculty position in natural language processing (NLP). We seek candidates at the assistant, associate, or full professor level with a strong background in core NLP topics. We are especially looking for applicants who are interested in or have experience with applying NLP to interdisciplinary problems, e.g., in the areas of Computational Social Science, Fairness, Accountability, and Transparency, Human-Computer Interaction (HCI), Science of Science, Trustworthy AI, or Bioinformatics and Health Sciences. This list is not exhaustive. The successful candidate will be expected to contribute to the department's research, teaching, and service missions. This position is anticipated to be hired at the Assistant Professor rank; however, qualified candidates may be considered at the Associate Professor or Professor rank.

We are looking for one faculty member in the area with the potential for a second hire based on the candidate pool.

The University of Colorado Boulder is committed to building a culturally diverse community of faculty, staff, and students dedicated to contributing to an inclusive campus environment. We are an Equal Opportunity employer, including veterans and individuals with disabilities.

WHO WE ARE:

Computer Science is the fastest growing and largest department within the College of Engineering and Applied Science. The department is home to 50 tenured and tenure-track faculty plus 25 instructional faculty and now hosts nearly 1,300 undergraduate and 500 graduate students. Computer Science has a strong tradition and national reputation for excellence in NLP, a field that has seen a dramatic increase in student interest. This search aims to continue our prominence in the area and deepen interdisciplinary collaborations with departments such as Linguistics, Information Science, Applied Mathematics, Psychology, and Business and Law schools.

Our department is committed to fostering an inclusive environment, and we seek candidates who understand the benefits of interdisciplinary collaborations with students, faculty, and other researchers from across CU. Our department is also responsive to dual-career situations. For more information about the Department of Computer Science, please visit: https://www.colorado.edu/cs/

The University of Colorado Boulder (CU Boulder) is among the most research-active public universities in the country, and the College of Engineering and Applied Science is the second largest school or college on the CU Boulder campus. We are committed to fostering a diverse, inclusive, and academically excellent community.

WHAT YOUR KEY RESPONSIBILITIES WILL BE:

  • Successful candidates will be expected to engage in undergraduate and graduate teaching and mentoring; develop an externally funded research program in their technical area; contribute professional leadership and service to their unit, the college, and their professional community; and cultivate and contribute to the inclusive excellence of our academic community.
  • Contribute solutions to complex global challenges, aiming to improve economic competitiveness, security, and quality of life. Your efforts will bolster our national leadership, ensuring that advancements in NLP are inclusive and transcend social, economic, and geographical boundaries, fostering a diverse academic and social environment.
  • The typical distribution of work for this role is 40% teaching, 40% scholarly and creative work (research), and 20% leadership and service.

WHAT YOU SHOULD KNOW:

  • The anticipated start date for this position is Fall 2024, but a later start date may be negotiated.
  • This search is aimed at increasing our critical mass of faculty with expertise in natural language processing (NLP). We seek candidates whose teaching, research, and service will contribute to the department's leadership in NLP and help foster an inclusive academic culture of excellence in the College of Engineering and Applied Science.
  • As part of the University of Colorado Boulder’s deep commitment to equity, diversity, and inclusion, the campus has implemented a reference check program with respect to final candidates for tenured faculty appointments. The reference check program is intended to allow CU Boulder to collect and review information about a candidate's conduct at their previous institutions, specifically conduct related to sexual misconduct, harassment, and/or discrimination – before making hiring decisions. All final candidates for tenured faculty appointments are required to complete an Authorization to Release Information.

WHAT WE CAN OFFER:

  • The anticipated academic year salary range for this position at the Assistant Professor rank is $110,000 - $130,000 academic year salary.
  • Qualified candidates will be considered for Associate Professor or Professor rank. The full salary range is $110,000 - $190,000, depending on rank.
  • A relocation stipend may be available within CEAS guidelines.
  • Tenure-track faculty benefits include eligibility for gender-neutral paid parental leave; housing down-payment assistance programs; a relocation and dual career assistance program; and teaching, research, and professional development.

BENEFITS:

The University of Colorado offers excellent benefits, including medical, dental, retirement, paid time off, tuition benefit and ECO Pass. The University of Colorado Boulder is one of the largest employers in Boulder County and offers an inspiring higher education environment.

WHAT WE REQUIRE:

  • Applicants must have earned a research doctorate in Computer Science, Information Science, Computational Linguistics, Computer Engineering, or a similar field or have their degree conferred before starting a tenure-track faculty appointment.
  • Candidates being considered for appointment at the Associate Professor or Professor rank must meet University standards and unit criteria for tenure and promotion to the designated rank. This generally includes having an established and ongoing program of original research, a strong publication record, and demonstrated ability to obtain external funding as well as a record of high-quality teaching and mentoring.

SPECIAL INSTRUCTIONS:

To apply, please submit the following materials as individual PDF files:

  • Cover Letter: A one-page cover letter describing your interest in the position and summarizing your personal academic goals.
  • Resume/CV: A current curriculum vitae.
  • A Statement of Research Philosophy: A statement of your experience and plans for research and/or creative work that contributes to the body of knowledge in your field and provides broader benefits to education and society (2-3 pages).
  • A Statement of Teaching Philosophy: A statement of your experience and plans for teaching and mentoring a diverse student body (2-3 pages).
  • A Contributions to Diversity and Inclusion Statement: A statement on how your teaching, research, and leadership and service demonstrates a commitment to diversity and inclusion. Examples might include scholarly work, efforts to improve access to higher education for underserved individuals or groups, or other contributions to diverse communities. For guidance in writing this statement please see the link: https://www.colorado.edu/engineering/support-faculty-applicants) (1-2 pages).
  • List of References: Please upload a document that lists the name and contact information for references who may be contacted by phone. *Note - during the application process, you will separately be asked to provide the contact information for three (3) references who may be asked to provide letters of recommendation later in the search process. These references may be the same or different than those you list on your phone check document.

Applications will be accepted until the position is filled; however, for full consideration please apply by November 26, 2023. Background checks will be conducted for all final candidates.

Note: Application materials will not be accepted via email. For consideration, applications must be submitted through CU Boulder Jobs (search by job title or by requisition number: 52139).

Assistant Professor - Department of Psychology, Rochester Institute of Technology

  • Employer: Rochester Institute of Technology
  • Title: Assistant Professor
  • Specialty: Cognitive Science
  • Secondary expertise: cognitive or behavioral neuroscience, AI, computational/psycho-linguistics, cognitive psychology, comparative psychology
  • Location: Rochester, New York, USA
  • Deadline: When the job posting is no longer live
  • Date posted: 04 October 2023
  • Contact: Dr. Caroline DeLong - cmdgsh@rit.edu
  • Application Website: http://careers.rit.edu/faculty Keyword Search 8262BR

DETAILED JOB DESCRIPTION: The Department of Psychology at the Rochester Institute of Technology (RIT; www.rit.edu/psychology) invites candidates to apply for a tenure-track Assistant Professor position starting in August 2024. We are seeking an energetic and enthusiastic psychologist who will serve as an instructor, researcher, and mentor to students in our undergraduate (Psychology, Neuroscience) and graduate programs (Masters in Experimental Psychology, Ph.D. in Cognitive Science). We are particularly looking to build a cohort of faculty who can contribute to the interdisciplinary Ph.D. program in Cognitive Science and contribute to research, mentoring, and teaching using computational and laboratory methods. Candidates should have expertise in an area of Cognitive Science such as cognitive or behavioral neuroscience, AI, computational/psycho-linguistics, cognitive psychology, comparative psychology, or related areas. We are particularly interested in individuals whose area of research expertise expands the current expertise of the faculty. Candidates who can teach courses in natural language processing or computational modeling courses are especially encouraged to apply. The Department of Psychology at RIT serves a rapidly expanding student population at a technical university. The position requires a strong commitment to teaching and mentoring, active research and publication, and a strong potential to attract external funding. Teaching and research are priorities for faculty at RIT, and all faculty are expected to mentor students through advising, research and in-class experiences. The successful candidate will be able to teach courses in our undergraduate cognitive psychology track (Memory & Attention, Language & Thought, Decision Making, Judgement & Problem Solving), will be expected to teach research methods/statistics courses at the undergraduate and graduate level, and teach and mentor students in our graduate programs. In addition, candidates must be able to do research and work effectively within the department’s existing lab space. RIT provides many opportunities for collaborative research across the institute in many diverse disciplines such as AI, Digital Humanities, Human-Centered Computing, and Cybersecurity.

We are seeking individuals who have the ability and interest in contributing to a community committed tostudent-centeredness; professional development and scholarship; integrity and ethics; respect, diversity and pluralism; innovation and flexibility; and teamwork and collaboration. Select to view links to RIT’s core values, honor code, and statement of diversity.

THE COLLEGE/ DEPARTMENT: The Department of Psychology at RIT offers B.S., M.S. degrees, Advanced Certificates, minors, immersions, electives, and a new interdisciplinary Ph.D. degree program in Cognitive Science. The B.S. degree provides a general foundation in psychology with specialized training in one of five tracks: biopsychology, clinical psychology, cognitive psychology, social psychology, and developmental psychology. The M.S. degree is in Experimental Psychology, with an Advanced Certificate offered in Engineering Psychology. We offer accelerated BS/MS programs with AI, Sustainability, and Experimental Psychology. The Ph.D. degree is in Cognitive Science and the program is broadly interdisciplinary with several partner units across the university. We also offer joint B.S. degrees in Human Centered Computing and Neuroscience.

The College of Liberal Arts is one of nine colleges within Rochester Institute of Technology. The College has over 150 faculty in 13 departments in the arts, humanities and social sciences. The College currently offers fourteen undergraduate degree programs and five Master degrees, serving over 800 students.

THE UNIVERSITY: Founded in 1829, Rochester Institute of Technology is a diverse and collaborative community of engaged, socially conscious, and intellectually curious minds. Through creativity and innovation, and an intentional blending of technology, the arts and design, we provide exceptional individuals with a wide range of academic opportunities, including a leading research program and an internationally recognized education for deaf and hard-of-hearing students. Beyond our main campus in Rochester, New York, RIT has international campuses in China, Croatia, Dubai, and Kosovo. And with more than 19,000 students and more than 125,000 graduates from all 50 states and over 100 nations, RIT is driving progress in industries and communities around the world. Find out more at www.rit.edu .

REQUIRED MINIMUM QUALIFICATIONS:

  • Have PhD., or PhD. expected by July 1, 2024 in cognitive psychology or cognitive science related specialty (e.g. linguistics);
  • Have demonstrated ability to conduct independent research in psychology or closely related fields;
  • Have consistently and recently published;
  • Have demonstrated teaching ability and have taught college courses independently beyond TA;
  • Have demonstrated ability to supervise student research;
  • Demonstrate external research grant attainment potential;
  • Demonstrate expertise in research and teaching in cognitive science;
  • Show a career trajectory that emphasizes a balance between teaching and research;
  • Show a fit with the Department of Psychology’s general mission, teaching, research, and resources.
  • Ability to contribute in meaningful ways to the college’s continuing commitment to cultural diversity, pluralism, and individual differences.

HOW TO APPLY: Apply online at http://careers.rit.edu/faculty; search openings, then Keyword Search 8262BR. Please submit your application, curriculum vitae, cover letter addressing the listed qualifications and upload the following attachments:

You can contact the chair of the search committee, Caroline DeLong, Ph.D. with questions on the position at: cmdgsh@rit.edu.

Review of applications will begin October 1, 2023 and will continue until an acceptable candidate is found.

RIT does not discriminate. RIT is an equal opportunity employer that promotes and values diversity, pluralism, and inclusion. For more information or inquiries, please visit RIT/TitleIX or the U.S. Department of Education at ED.Gov


Assistant Professor in Syntax - Department of Linguistics, University of Kentucky

  • Employer: University of Kentucky
  • Title: Assistant Professor
  • Specialty: Syntax (with interest in computable syntactic models)
  • Secondary expertise: semantics, morphology, psycholinguistics
  • Location: Lexington, Kentucky, USA
  • Deadline: 11 December 2023
  • Date posted: 19 September 2023
  • Contact: Dr. Allison Burkette - allison.burkette@uky.edu
  • Application Website: https://ukjobs.uky.edu/postings/485221

The Department of Linguistics in the College of Arts and Sciences at the University of Kentucky in Lexington, Kentucky seeks to fill a tenure-eligible faculty position at the Assistant Professor level in Syntax. This is a 9-month position in the regular title series with an anticipated start date of August 1, 2024. The ideal candidate will have demonstrated research expertise in syntax with interest in computable syntactic models, with secondary expertise in semantics, morphology, or psycholinguistics, and an ability to teach courses in a range of these areas. The Linguistics department is strong in sociolinguistics, computational linguistics, and historical linguistics. We encourage candidates whose research and teaching interests can contribute to one or more of these areas. A Ph.D. in Linguistics or related field is required.

Applicants must include the following:

  • cover letter.
  • CV.
  • unofficial transcript.
  • statement of teaching experience (upload as Specific Request 1).
  • statement of research experience (upload as Specific Request 2).
  • a statement on their contribution toward inclusive excellence in teaching, research, professional activities, and/or service (upload as Specific Request 3).

In addition, please provide the names and contact information for three references when prompted in the academic profile. This information may be utilized to solicit recommendation letters from your references within the employment system.

The University of Kentucky provides comprehensive benefits which are fully described at: https://hr.uky.edu/employment/working-uk/our-benefits

Questions about this search should be addressed to Dr. Allison Burkette, Department Chair, Department of Linguistics, University of Kentucky, allison.burkette@uky.edu.

As an Equal Opportunity Employer, we strongly encourage veterans, individuals with disabilities, women, and all minorities to consider our employment opportunities.


Assistant Professor - NLP and Data Science, University of California, Davis

  • Employer: University of California, Davis
  • Title: Assistant Professor
  • Specialty: Natural Language Processing, Data Science
  • Location: Davis, California, USA
  • Deadline: November 15, 2023 (for full consideration)
  • Date posted: September 12, 2023
  • Contact: Angus Chang
  • Application Website: https://recruit.ucdavis.edu/JPF06015

The Departments of Linguistics and Statistics at University of California, Davis jointly invite applications for a tenure-track Assistant Professor position starting Fall 2024. We are seeking an engaged individual, willing to help in creating an exciting environment involving the two thriving departments. A successful candidate is expected to develop a research program at the intersection of Linguistics, Statistics and Data Science. Within this intersection, the candidate’s focus of inquiry will remain wide open. Interests can range from probabilistic approaches to language processing, to the investigation of societal consequences of big language data or the application of computational methods to social sciences, to mention but a few.

Desired qualifications include the ability to teach pertinent classes in both linguistics and statistics. Mentoring of undergraduate students, supervision of graduate students, involvement in curricular development, and performance of university service are expected. A Ph.D. in Linguistics, Statistics, Computer Science, Cognitive Science, or a closely related field must be completed by the beginning of instruction.

Applicants should submit: curriculum vitae, a cover letter that clearly states reasons for the candidate’s interest in the position, qualifications, and a summary of academic trajectory; statements of research and teaching interests, official graduate transcripts, one writing sample (publication, submitted manuscript, or dissertation chapter), and three letters of recommendation through the online application system found at: https://recruit.ucdavis.edu/JPF06015. This recruitment is conducted at the Assistant rank. The resulting hire will be at the Assistant rank, regardless of the proposed appointee’s qualifications. Appointment level and salary are commensurate with experience. A reasonable estimate for this position is $101,000 to $145,000.

The position will remain open until filled. Applications received by November 15, 2023 will receive full initial consideration.

The University of California, Davis, is an affirmative action/equal opportunity employer with a strong institutional commitment to the achievement of diversity among its faculty and staff.


Postdoctoral Researcher in NLP, Bocconi University, Italy

  • Employer: Bocconi University, Milan, Italy
  • Title: Postdoctoral Researcher
  • Speciality: NLP
  • Starting date: Oct 1 2023, or any time thereafter
  • Duration: 2 years
  • Deadline: 1st September 2023
  • Salary: Competitive salary. Applicants from outside Italy may qualify for a researcher taxation scheme
  • Date posted: 25th July 2023
  • Contact: <Debora Nozza> (website)

We are seeking a highly motivated and talented individual to join our research team as a Postdoctoral Researcher in the field of Natural Language Processing. The position offers an exciting opportunity to investigate the computational and algorithmic aspects underlying modern Artificial Intelligence systems, with a specific focus on the algorithmic and application aspects of NLP-based technologies. Successful candidates will work closely with Prof. Debora Nozza, Prof. Dirk Hovy, and the MilaNLP lab.

Your profile:

  • a Ph.D. in Computer Science, Computational Linguistics/NLP, Machine Learning, Data Science, or related fields.
  • Excellent programming skills in Python.
  • Fluency in spoken and written English. Knowledge of Italian is NOT a requirement.
  • Knowledge of current neural network models and implementation tools for neural networks (e.g., PyTorch).
  • Experience with publications in top-tier venues in the field of NLP/Computational Linguistics.

HOW TO APPLY:

Go to the Bocconi postdoc job market page Job ad and search for “Natural language processing”, where you can also find the official job description. Candidates should attach publications and a cover letter to their application.

Online interviews will take place during September 2023. Please contact <Debora Nozza> if you have any questions.



(Senior) NLP Researcher at ASUS Intelligent Cloud Services

The mission of ASUS Intelligent Cloud Services (AICS) is to build revolutionary healthcare solutions using natural language processing, computer vision, and big data analytics. We provide Software as a Service (SaaS) applications to accelerate the effective use of medical records and improve the efficiency of hospital operations, unleashing the power of data for healthcare and bringing transformative impact to the industry.

The role of a Researcher is to work on ambitious long-term research goals, while laying out intermediate milestones to solve large-scale, real-world problems. As a senior member of the team, you will also help define research directions and guide junior researchers.

Responsibilities

  • Drive AI/ML research from concepts to feasible output to determine the viability of ideas and technologies.
  • Research and develop innovative ML methods with high impact.
  • Publish and present your work in the top ML/NLP venues.
  • Work with product and engineering teams to transform model prototypes into production, using best practices for model development, management, and maintenance.
  • Establish internal and external partnerships to collaborate on research projects, supervise students and interns.

Qualifications

  • Ph.D. degree in computer science or related discipline.
  • (for senior role) at least 5 years research experience post-PhD, preferably in industry.
  • Strong expertise in state-of-the-art machine learning methods, especially in the domains of natural language processing or time series data analysis.
  • Familiarity with generative models, un-/semi-supervised learning, long-tailed learning, and/or domain generalization.
  • Track record of publications at top peer-reviewed conferences and journals.
  • Hands-on experience with deep learning frameworks such as PyTorch, Keras, and Tensorflow.
  • Knowledge of MLOps and deploying models in production will be beneficial.
  • Strong analytical and problem-solving skills.

Applied Machine Learning Scientist at Thomson Reuters Labs London

  • Employer: Thomson Reuters Labs
  • Title: Applied Machine Learning Scientist
  • Specialty: Machine Learning, Information Retrieval, and Natural Language Processing
  • Location: London, UK (Full-Time, Hybrid)
  • Deadline: When the job posting is no longer live
  • Date posted: July 13th, 2023
  • Contact for more info: Dell Zhang

Are you excited about working at the forefront of applying machine learning to real world software problems in Legal, Tax, Compliance, and News? Thomson Reuters Labs in London is seeking machine learning scientists with a passion for solving problems in a collaborative setting with Product and Engineering counterparts.

What does Thomson Reuters Labs do?

We experiment, we build, we deliver. We support the organization and our customers through applied research and the development of new products and technologies in close collaboration with the Product and Engineering teams. TR Labs innovates collaboratively across our core segments in Legal, Tax & Accounting, Government, and Reuters News. In addition to this co-development and innovation, we also invest in long term research that can shape the future for our products and customers.

As a scientist in TR Labs, you will be part of a global interdisciplinary team of experts. We hire specialists and generalists across a variety of AI research areas, as well as Engineering and Design, to drive the company's digital transformation. TR Labs is known for delivering innovative AI products that serve Thomson Reuters customers in new and exciting ways.

Why it's an exciting time to join our team?

We have:

  • $100 million annually we are investing in generative AI technologies such as LLM and chat-based conversational interfaces.
  • 30+ years of experience deploying AI and language models culminating in industry-leading innovations such as Westlaw Edge, Westlaw Precision, Practical Law Dynamic and Checkpoint Edge.
  • 150+ years of providing professionals with trusted, accurate source of legal and tax content, cultivated by over 2,000 subject matter experts.
  • Our new plugin with Microsoft and Microsoft 365 Copilot for legal professionals.
  • Our announced acquisition of Casetext, a leader in legal AI innovation.

About the role

As a scientist in TR Labs, you will:

  • Experiment and Develop: You will execute the entire model development lifecycle, from prototype to delivery, while applying best practices for reproducible research and well-managed software delivery.
  • Collaborate: Working on a collaborative cross-functional team, you will share information, value diverse ideas, and partner effectively with colleagues across the globe.
  • Deliver: With a sense of urgency and the desire to work in a fast-paced, dynamic environment, you will connect complex business requirements with development deliverables. Our problems are complex; our solutions are right-sized. You will be accountable for timely, well-managed deliverables.
  • Innovate: You will be empowered to try new approaches and learn new technologies. You will foster innovative ideas to solve real-world challenges. You will iterate to improvement rapidly with a mindset for failing fast and learning continuously from data.
  • Inspire: You will be a proactive communicator who is excited to share your work. You will be articulate and compelling in describing ideas to both technical and non-technical audiences.

About the company

Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we've been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world's most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.

We are powered by the talents of 25,000 employees across more than 75 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

About you

Basic qualifications

  • Master's or Bachelor's with a comparable level of experience or PhD in a relevant discipline.
  • Proven practical, relevant experience building AI/ML products and applications.
  • Software engineering and / or data engineering skills for prototyping.
  • Experience as a technical contributor in aspects of the following:
 - comfort in dealing with uncertainty and ambiguity in problem statements and paths to success,
 - executing the research and development with an iterative mindset and approach,
 - communication of progress and plans with varied stakeholders.

Preferred qualifications

  • Significant practical experience using AI and ML to solve diverse and/or ambiguous problems in academia or industry.
  • Ability to translate research into practical working solutions and applications.
  • Experience in a fast-paced, agile environments managing uncertainty and ambiguity.
  • Proficiency in Python, Java, or Scala and experience delivering minimum viable products in a large enterprise environment.
  • Outstanding communication and data-driven decision-making collaboration with Product + Business Stakeholders.
  • Diverse experiences across problem spaces, companies and cultures.

What's in it for you

You will join our inclusive culture of world-class talent, where we are committed to your personal and professional growth through:

  • Technology: Our Scientists and Engineers get to play with big data sets to discover new products, capabilities, and insights for our customers. We have over 60,000 TBs worth of legal, regulatory, news, and tax data.
  • Hybrid Work Model: We've adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected.
  • Wellbeing: Comprehensive benefit plans; flexible and supportive benefits for work-life balance: global minimum parental leave, two company-wide Mental Health Days Off; work from another location for up to a total of 8 weeks in a year, 4 of those weeks can be out of the country and the remaining in the country, Headspace app subscription; retirement, savings, tuition reimbursement, and employee incentive programs; resources for mental, physical, and financial wellbeing.
  • Culture: Globally recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and more.
  • Learning & Development: LinkedIn Learning access; enterprise-wide company learning days, internal Talent Marketplace with opportunities to work on projects cross-company; Ten Thousand Coffees Thomson Reuters café networking.
  • Social Impact: Ten employee-driven Business Resource Groups; two paid volunteer days annually; Environmental, Social and Governance (ESG) initiatives for local and global impact.
  • Purpose-Driven Work: We have a superpower that we've never talked about with as much pride as we should – we are one of the only companies on the planet that helps its customers pursue justice, truth and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.

How to Apply

For further details and to apply, please follow the link of the job posting.

Research Associate in Natural Language Processing (KTP Associate)

  • Employer: Department of Computer Science, University of Manchester, UK and 10BE5, London, UK
  • Title: Research Associate in Natural Language Processing (KTP Associate)
  • Specialty: Natural Language Processing
  • Location: London and Manchester, UK
  • Deadline: March 14, 2023
  • Date posted: February 28, 2023
  • Apply here: Full ad and job description
  • Contact: Prof. Sophia Ananiadou [11]

This is an exciting opportunity at the cutting edge of innovation in the legal and financial sectors for an ambitious graduate with the ability and confidence to undertake a ground-breaking natural language processing project.

The University of Manchester and 10BE5 are looking for a driven and accomplished candidate to undertake a 30-month project that aims to automate fact-checking and verification of disclosure documents. The successful candidate will have the unique distinction of also being:

  • a member of the University of Manchester's prestigious and world-leading National Centre for Text Mining; and
  • a part of the diverse and dynamic team at 10BE5, an award-winning and fast-growing legal tech company that affords opportunities of interacting with many of the world's largest corporations and firms.

The successful candidate will conduct novel to work research in fact-checking and verification, as well as claim mining from legal and financial documents. He/she will also work on the development of labelled data using active and proactive generative approaches and the use of knowledge graphs.

Candidates will require a PhD in Natural Language Processing and work experience in related domains.

The post is partly funded through a Knowledge Transfer Partnership (KTP) award, the UK Government's flagship scheme intended to promote sustained and mutually beneficial relationships between research organizations and industry.

The contractual place of work will be 10BE5 Ltd., 107-111 Fleet Street, London, EC4A 2AB. This role, however, follows a hybrid working pattern that will see the candidate alternating between working from home and at the business location plus occasional visits the University campus in Manchester. The successful candidate will work with supervisors from both the University of Manchester and 10BE5 and will use the facilities and resources of both organisations.

Salary: £34,308 to £42,155 per annum depending on experience. This position also qualifies for a London Weighting allowance of £3,000 per annum due to 10BE5's London location and includes access to a ring-fenced £5,000 personal development budget

Hours: Full time

Duration: Available For 30 Months From Start Date

Postdoc position up to 3 years

  • Employer: Bocconi University, Milan, Italy
  • Title: Postdoctoral Researcher
  • Speciality: NLP, bias, hate speech, demographic factors, machine learning
  • Starting date: March 1 2023, or any time thereafter
  • Duration: 2 years, 1 year extension possible
  • Deadline: 23rd January 2023
  • Salary: 42k EUR p.a. (median salary Milan: 37k EUR) Applicants from outside Italy may qualify for a researcher taxation scheme
  • Date posted: 12th December 2022
  • Contact: <Dirk Hovy> (website)

Online hate speech has resulted in actual hate crimes. INDOMITA offers automated assistance to combat online hate speech. However, hatred is complex. The offensiveness of a phrase is determined by social customs and user demographics: "Yo, a**hole!" is acceptable among friends but not strangers. Our user-centric approach takes into account social customs and user demographics to enhance detection of nuanced forms of hate speech. We will use three strategies: - modeling a complex problem with socio-demographic context, - automating counter-argument and responding to aggressive users, and - creating evaluation methods to analyze fairness, performance, and subjectivity. Our research will bridge language gaps and shed light on the relationships between online actors and online hatred. We are seeking candidates to work on NLP, machine learning, and neural networks for representation learning, natural language understanding, and hate speech detection in various languages and modalities. Successful candidates will work closely with Prof. Dirk Hovy, Prof. Debora Nozza, and the MilaNLP lab.

Your profile:

  • a Ph.D. in Computer Science, Computational Linguistics/NLP, Machine Learning, Data Science, or related fields.
  • Excellent programming skills in Python. Additional languages (C++, R, etc) a plus.
  • Fluency in spoken and written English. Knowledge of Italian is NOT a requirement.
  • Knowledge of current neural network models and implementation tools for neural networks (e.g. PyTorch, Tensorflow, Keras, etc.).
  • Experience with publications in top-tier venues in the field of NLP/Computational Linguistics.
  • Submission of a CV, list of publications, and cover letter.

HOW TO APPLY: Online job portal (search for INDOMITA) English job description Candidates should attach publications and a cover letter to their application. Online interviews will take place during February 2023.


Associate/Full Professor - Chancellor's Joint Initiative: Natural Language Processing (HDSI/Linguistics)

  • Employer: University of California, San Diego
  • Title: Associate/Full Professor
  • Specialty: Natural Language Processing
  • Location: San Diego, California, USA
  • Deadline: January 8, 2023 (for full consideration)
  • Date posted: December 8, 2022


APPLICATION WINDOW

Open date: November 21, 2022

Next review date: Sunday, Jan 8, 2023 at 11:59pm (Pacific Time)

Apply by this date to ensure full consideration by the committee.

Final date: Friday, Jun 30, 2023 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.


POSITION DESCRIPTION

The University of California, San Diego invites applications for a tenured Associate or Full Professor in the broad area of Natural Language Processing. This position will hold a joint appointment in the Department of Linguistics and the Halicioğlu Data Science Institute (HDSI), to begin in Fall 2023.

Data Science is beginning to advance our understanding of society and human behavior in ways that pose grand challenges to our understanding of how humans learn, use, and process natural language. HDSI is pursuing a strategy for advancing Data Science that builds upon its unique strengths in creating interdisciplinary research areas that span multiple disciplines and departments. The Department of Linguistics takes a strong interdisciplinary approach to language research that combines theory, computation, and experimentation. The department plays a central role in the new Computational Social Science (CSS) program within the School of Social Sciences, creating an excellent opportunity to collaborate in bringing together the emerging discipline of Data Science with research challenges in Linguistics, to be led by scholars with strong linguistic, quantitative, and computational skills.

We seek exceptional candidates with a strong record of publications and research in this interdisciplinary area. The selected candidate is expected to teach undergraduate and graduate level courses, as well as mentor students, in both Linguistics and HDSI. They will conduct and publish research and participate in professional activities (e.g., conferences) in the field of Natural Language Processing. They are also expected to participate in department and university service as academic members of the campus community.

Authorization to work in the U.S. is a precondition of employment.


QUALIFICATIONS

Basic qualifications (required at time of application)

PhD in Data Science, Computer Science, Linguistics, or related discipline.

Track record of published research in Data Science or related field.

Preferred qualifications

We seek applicants with an outstanding track record of research accomplishments, excellence in teaching, service, and a commitment to support diversity, equity and inclusion at the university.

APPLICATION REQUIREMENTS

Document requirements

Cover Letter

Curriculum Vitae - Your most recently updated C.V.

Statement of Research

Statement of Contributions to Diversity - Applicants should summarize their past or potential contributions to diversity. See our Faculty Equity site for more information.

Statement of Teaching

Teaching Evaluations (Optional)

Institutional Reference Check - UC San Diego requires all candidates for academic appointments with tenure or security of employment to complete, sign, and upload the form entitled "Authorization to Release” into RECRUIT as part of their application. Additional information is available online:

https://aps.ucsd.edu/recruitment/background_check/.

Misc / Additional (Optional)


Reference requirements

3-5 letters of reference required (contact information only)


Apply link: https://apol-recruit.ucsd.edu/JPF03447

Help contact: d1dutson@ucsd.edu


CAMPUS INFORMATION

The University of California, San Diego is an Equal Opportunity/Affirmative Action Employer advancing inclusive excellence. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, covered veteran status, or other protected categories covered by the UC nondiscrimination policy.

As a condition of employment, you will be required to comply with the University of California SARS-CoV-2 (COVID-19) Vaccination Program Policy. All Covered Individuals under the policy must provide proof of Full Vaccination or, if applicable, submit a request for Exception (based on Medical Exemption, Disability, and/or Religious Objection) or Deferral (based on pregnancy) no later than the applicable deadline. Please refer to Appendix F, Section II.C. of the policy for the deadlines applicable to new University of California employees. (Capitalized terms in this paragraph are defined in the policy.) Federal, state, or local public health directives may impose additional requirements.

The University of California prohibits smoking and tobacco use at all University controlled properties.

The UC San Diego Annual Security & Fire Safety Report is available online at: https://www.police.ucsd.edu/docs/annualclery.pdf. This report provides crime and fire statistics, as well as institutional policy statement & procedures. Contact the UC San Diego Police Department at (858) 534-4361 if you want to obtain paper copies of this report.


JOB LOCATION

San Diego


Assistant Professor - Chancellor's Joint Initiative: Natural Language Processing (HDSI/Linguistics)

  • Employer: University of California, San Diego
  • Title: Assistant Professor
  • Specialty: Natural Language Processing
  • Location: San Diego, California, USA
  • Deadline: January 8, 2023 (for full consideration)
  • Date posted: December 8, 2022


APPLICATION WINDOW

Open date: November 21, 2022

Next review date: Sunday, Jan 8, 2023 at 11:59pm (Pacific Time)

Apply by this date to ensure full consideration by the committee.

Final date: Friday, Jun 30, 2023 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.


POSITION DESCRIPTION

The University of California, San Diego invites applications for an Assistant Professor (tenure-track) in the broad area of Natural Language Processing. This position will hold a joint appointment in the Department of Linguistics and the Halicioğlu Data Science Institute (HDSI), to begin in Fall 2023.

Data Science is beginning to advance our understanding of society and human behavior in ways that pose grand challenges to our understanding of how humans learn, use, and process natural language. HDSI is pursuing a strategy for advancing Data Science that builds upon its unique strengths in creating interdisciplinary research areas that span multiple disciplines and departments. The Department of Linguistics takes a strong interdisciplinary approach to language research that combines theory, computation, and experimentation. The department plays a central role in the new Computational Social Science (CSS) program within the School of Social Sciences, creating an excellent opportunity to collaborate in bringing together the emerging discipline of Data Science with research challenges in Linguistics, to be led by scholars with strong linguistic, quantitative, and computational skills.

We seek exceptional candidates with a strong record of publications and research in this interdisciplinary area. The selected candidate is expected to teach undergraduate and graduate level courses, as well as mentor students, in both Linguistics and HDSI. They will conduct and publish research and participate in professional activities (e.g., conferences) in the field of Natural Language Processing. They are also expected to participate in department and university service as academic members of the campus community.

Authorization to work in the U.S. is a precondition of employment.


QUALIFICATIONS

Basic qualifications (required at time of application)

PhD or Advancement to Candidacy in Data Science, Computer Science, Engineering, Linguistics, Mathematics/Statistics, or related discipline.


APPLICATION REQUIREMENTS

Document requirements

Cover Letter

Curriculum Vitae - Your most recently updated C.V.

Statement of Research

Statement of Contributions to Diversity - Applicants should summarize their past or potential contributions to diversity. See our Faculty Equity site for more information.

Statement of Teaching

Teaching Evaluations (Optional)

COVID-19 Impact Statement - We understand that the COVID-19 pandemic may have had a substantial impact on academic productivity. In our academic hiring processes, we will be keeping this in mind as we consider achievement relative to opportunity. We encourage you to reflect on constraints on opportunity in your field that were caused by the events of the pandemic and where applicable, to discuss your achievements in this light. (Optional)

Misc / Additional (Optional)


Reference requirements

3-5 letters of reference required


Apply link: https://apol-recruit.ucsd.edu/JPF03446

Help contact: d1dutson@ucsd.edu


CAMPUS INFORMATION

The University of California, San Diego is an Equal Opportunity/Affirmative Action Employer advancing inclusive excellence. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, covered veteran status, or other protected categories covered by the UC nondiscrimination policy.

As a condition of employment, you will be required to comply with the University of California SARS-CoV-2 (COVID-19) Vaccination Program Policy. All Covered Individuals under the policy must provide proof of Full Vaccination or, if applicable, submit a request for Exception (based on Medical Exemption, Disability, and/or Religious Objection) or Deferral (based on pregnancy) no later than the applicable deadline. Please refer to Appendix F, Section II.C. of the policy for the deadlines applicable to new University of California employees. (Capitalized terms in this paragraph are defined in the policy.) Federal, state, or local public health directives may impose additional requirements.

The University of California prohibits smoking and tobacco use at all University controlled properties.

The UC San Diego Annual Security & Fire Safety Report is available online at: https://www.police.ucsd.edu/docs/annualclery.pdf. This report provides crime and fire statistics, as well as institutional policy statement & procedures. Contact the UC San Diego Police Department at (858) 534-4361 if you want to obtain paper copies of this report.


JOB LOCATION

San Diego

ML/NLP Internship (6-month) with Thomson Reuters Labs London

  • Employer: Thomson Reuters
  • Title: Applied Research Intern, ML/NLP
  • Specialty: Machine Learning and Natural Language Processing
  • Location: London, UK
  • Deadline: When the job posting is no longer live
  • Date posted: November 28th, 2022
  • Contact for more info: Dell Zhang

Are you a curious and open-minded individual with an interest in programming and machine learning? Thomson Reuters Labs in London is seeking an ML/NLP scientist intern with a passion for problem-solving using state-of-the-art Machine Learning and Natural Language Processing techniques.

What does Thomson Reuters Labs do?

We experiment, we build, we deliver. We support the organization and our customers through applied research and development of new products and technologies. The Labs innovate collaboratively across our core segments in Legal, Tax & Accounting, Government, and Reuters News. We undertake a diverse portfolio of projects today, while investing in long term research for the future.

As an intern, you will be part of a diverse and interdisciplinary global team of experts. We hire specialists in Information Retrieval, Natural Language Processing, and Machine Learning, as well as Engineering and Design to drive the company's digital and AI transformation. Thomson Reuters Labs is known for consistently delivering successful data-driven Artificial Intelligence solutions in support of high-growth products that serve Thomson Reuters customers in new and exciting ways.

The internship duration at Thomson Reuters Labs is typically up to six months and may be aligned with an academic semester or depending upon your availability. It can begin immediately.

About the role

As a data scientist/research scientist intern you will:

  • Experiment and Develop: You can be involved in the entire model development lifecycle, building, testing and delivering high-quality solutions.
  • Collaborate: Working on a collaborative cross-functional team, you will learn from and partner with colleagues across the globe.
  • Innovate: You will have the opportunity to try new approaches and learn new technologies. You will contribute ideas and work on solving real-world challenges.

About you

This is our wish list. We understand that few people check every box. If you are excited about this opportunity, meet most of the following criteria, and are eager to learn, we want to hear from you!

  • Have an understanding and experience with Natural Language Processing, and/or Machine Learning methods including Deep Neural Networks.
  • Are experienced in one or more programming languages (preferably Python) and have experience working in the Cloud (preferably AWS).
  • Have experience with ML/NLP libraries such as PyTorch, TensorFlow, Scikit-learn, spaCy and HuggingFace.
  • Are comfortable working with unstructured datasets and are knowledgeable about tools and techniques for data cleaning and processing.
  • Are a student (or hold a degree) in Computer Science, Engineering, Statistics, Mathematics, or other quantitative disciplines.
  • Have good communication skills and the ability to work collaboratively as part of a team.

What's in it for you

  • Learning & Development: On-the-job coaching & learning as well as the opportunity to work with cutting-edge methods and technologies.
  • Plenty of Data and High-Impact Problems: Our scientists and engineers get to play with large datasets and discover new capabilities and insights in support of our high-impact products and customers. Thomson Reuters is best known for the globally respected Reuters News agency, but our company is also the leading source of information for legal, corporate and tax & accounting professionals. We have over 60,000 TBs worth of legal, regulatory, news, and tax data.
  • Competitive Compensation: The opportunity to earn while learning new skills.

How to Apply

For further details and to apply, please follow the link of the job posting.

Postdoctoral Researcher: Natural language processing (Cognitive Computer Lab, AI Research Center, Jeonbuk National University, KR)

  • Employer: Jeonbuk National University
  • Title: Postdoctoral Researcher
  • Specialty: Natural Language Processing
  • Location: Jeonju, South Korea
  • Deadline: November 29, 2022
  • Date posted: November 17, 2022

We are recruiting for a postdoctoral researcher who can start to work as early as possible in 2023 (or December in 2022) for pursuing various hot topics in NLP & AI, such as Knowledge enhanced pretrained language models, Memory-augmented language models, Language & vision, Neuro symbolic approaches, symbolic knowledge extraction from pretrained models, etc.

The details of the job posting are below and the application deadline is 29th November 2022. If you'd like to check the details, please contact Prof. Seung-Hoon Na (nash@jbnu.ac.kr).

Job link: https://nlp.jbnu.ac.kr/announcement_postdoc.html

Contract: Initially one year, extendible to additional two years.

How to apply: Please send your CV and Google Scholar to nash@jbnu.ac.kr if interested.

Lectureship or Senior Lectureship in Natural Language Processing, University of Manchester, UK

  • Employer: Department of Computer Science, University of Mancheser, UK
  • Title: Lecturer or Senior Lecturer in Natural Language Processing
  • Specialty: Natural Language Processing
  • Location: Manchester, UK
  • Deadline: Nov 30, 2022
  • Date posted: Nov 4, 2022
  • Apply here: Full ad and job description
  • Contact: Prof. Sophia Ananiadou [12]

We offer a Lectureship or Senior Lectureship in Natural Language Processing at the Department of Computer Science at the University of Manchester, UK. The appointment will further strengthen the research profiles of the AI/NLP and text mining research groups at the University of Manchester and the growing activities in AI.

We are looking for an outstanding candidate who has a vision for making a significant impact on NLP research and its applications. You should have major strengths in core natural language processing and deep learning with emphasis in one or more of these areas: natural language generation, explainable NLP, multimodal conversational AI, multimodal social media analysis etc, in various domains, including health, medicine, digital humanities, finance, etc.

The successful candidate should have the following research profile:

  • Computer Science with emphasis in Natural Language Processing or equivalent relevant experience
  • Previous experience in research and development of NLP
  • Excellent knowledge of deep learning (e.g. generative models, weakly-supervised learning, transfer learning).
  • Familiarity with machine learning libraries (e.g. TensorFlow, PyTorch) and NLP libraries (e.g. spaCy, HuggingFace).
  • Knowledge and understanding of pre-trained language models (e.g. BERT and GPT)
  • Excellent English and academic writing skills.
  • Ability to conduct basic and independent research in NLP demonstrated by existing publications in journals and conferences such as ACL, EMNLP, NAACL, SIGIR, IJCAI, Coling, AAAI.
  • Demonstrate ability to write grant proposals.

Salary: Lecturer £38,592 to £53,353 per annum, depending on experience; Senior Lecturer £54,949 to £65,578 per annum, depending on experience

Hours: Full time

Duration: Permanent

Multiple Tenure-Track Positions in Information Science, Drexel University

  • Employer: Drexel University, Department of Information Science
  • Title: Assistant and/or Associate Professor levels
  • Specialty: Artificial Intelligence and Data Science
  • Location: Philadelphia, PA
  • Deadline: Nov 30, 2022 (for full consideration) or until filled
  • Date posted: Oct 31, 2022
  • Start date: Sept. 1, 2023
  • Apply here: Full ad and job description
  • Contact: Dr. Jake Ryland Williams

The Department of Information Science in Drexel University's College of Computing and Informatics invites applications for multiple tenure-track and tenured faculty positions at the Assistant Professor and Associate Professor levels in Artificial Intelligence (AI) and Data Science (DS). While all competitive applications in these areas will be considered, the IS Department particularly encourages:

  • AI applicants focused on use-inspired research, human-AI teaming, neuro-symbolic methods, and human language technologies; and
  • DS applicants focused on research in scalability, cloud-based technologies and crowd work, deep learning frameworks, and on data engineering for and with machine learning.

Applications are encouraged from candidates with interest in using their focus area(s) to solve socially relevant problems at the intersection of computer, data, and information sciences that are synergistic, mutually supportive, and leverage the strengths of our College, University, and greater geographic region. Within cover letters, candidates should justify how their research interests are complementary to current research of the department.

Applicants should submit a cover letter, CV/resume, list of references, and statements describing their research program and teaching interests. Applicants are encouraged to use teaching and research statements to reflect on their experiences in promoting diversity and inclusion. To be considered, applications must be submitted online through Drexel Careers. Please apply online at:

Evaluation of applications will be conducted on a rolling basis until all positions are filled. Applicants should apply by November 30th, 2022, for full consideration.

For inquiries, please contact Dr. Jake Ryland Williams (https://jakerylandwilliams.github.io/). Date posted: October 31, 2022

Assistant Professor in Computational Language Science, University of Florida Department of Linguistics

  • Employer: University of Florida, Department of Linguistics
  • Title: Assistant Professor
  • Specialty: Computational Language Science
  • Location: Gainesville, FL
  • Deadline: Nov 22, 2022 (for best consideration) or until filled
  • Date posted: Oct 12, 2022
  • Start date: Aug 16, 2023
  • Apply here: Full ad and job description
  • Contact: Dr. Ratree Wayland [13]

The University of Florida invites applications for a tenure-track appointment in computational language science at the rank of Assistant Professor, beginning August 16, 2023. This is a full-time, nine-month, tenure-accruing position. Candidates should have an active research agenda studying any aspect of language from a computational perspective. Specializations include, but are not limited to, computational approaches to sociolinguistics, semantics, and pragmatics.

UF has recently committed to a university-wide artificial intelligence initiative along with a major super-computing collaboration with NVIDIA (ai.ufl.edu). Thus, we particularly encourage applications from candidates whose research explores artificial intelligence, natural language processing, or computational algorithms, as well as their societal implications. The latter may include issues of equity, bias, accountability, transparency, or inclusivity.

The Department of Linguistics seeks to train the next generation of linguists who are comfortable integrating computational approaches into their research in revealing and societally responsible ways. Ability to teach computationally-oriented courses is required. Candidates must hold the Ph.D. in linguistics, computer science, or a closely-related field by August 15, 2023. Review of applications will begin on Nov 22, 2022 and will continue until the position is filled. The University of Florida is an equal opportunity institution dedicated to building a broadly diverse and inclusive faculty and staff.

Assistant Professor: Linguistics / Computational Linguistics (Tenure Track) (University of Illinois Chicago)

  • Employer: University of Illinois Chicago
  • Title: Assistant Professor
  • Specialty: Computational Linguistics
  • Location: Chicago, Illinois, USA
  • Deadline: January 2, 2023
  • Date posted: October 11, 2022

The University of Illinois Chicago Department of Linguistics invites applications for a tenure-track appointment in computational language science at the rank of Assistant Professor, beginning August 16, 2023.

Responsibilities include pursuing an active research agenda, teaching courses in linguistics and computational linguistics, and contributing to the Department, the School of Literatures, Cultural Studies, and Linguistics, the university, and the community through service activities. The successful candidate will play an important role in the continued development of our CS + Linguistics program, which is a collaboration between the Department of Linguistics in the College of Liberal Arts and Sciences, and the Department of Computer Science in the College of Engineering.

Candidates must hold a Ph.D. in linguistics, computational linguistics, computer science, or a closely related field by August 15, 2023. ABD applicants may be considered.

To Apply:

For fullest consideration, candidates are strongly encouraged to submit their applications and all supporting materials at https://uic.csod.com/ux/ats/careersite/1/home/requisition/1475?c=uic by January 2, 2023.

The University of Illinois System is an equal opportunity employer, including but not limited to disability and/or veteran status, and complies with all applicable state and federal employment mandates. Please visit Required Employment Notices and Posters at https://www.hr.uillinois.edu/cms/one.aspx?portalId=4292&pageId=5705 to view our non-discrimination statement and find additional information about required background checks, sexual harassment/misconduct disclosures, COVID-19 vaccination requirement, and employment eligibility review through E-Verify.

The university provides accommodations to applicants and employees. Request Accommodation at https://jobs.uic.edu/request-and-accomodation/

Postdoctoral Researcher: Text Generation & Information Extraction for Clinical Records (University of Glasgow, UK)

  • Employer: University of Glasgow
  • Title: Postdoctoral Research Associate
  • Specialty: Text Generation & Information Extraction
  • Location: Glasgow, United Kingdom
  • Deadline: November 29, 2022
  • Date posted: October 31, 2022

We are recruiting for an EPSRC New Horizons project looking at text generation for synthetic medical records and how they can be used as part of an information extraction system. We're excited to work with the team at NHS Safe Havens Greater Glasgow & Clyde to look at how NLP can help the NHS team get the best information out of medical records. This project is led by Dr Graham McDonald, Dr Jake Lever and Prof Iadh Ounis.

The details of the job posting are below and the application deadline is extended to 29th November 2022. If you'd like to chat about the details, please contact Jake Lever (jake.lever@glasgow.ac.uk).

Job link: https://my.corehr.com/pls/uogrecruit/erq_jobspec_version_4.jobspec?p_id=098788

Postdoctoral Researcher: Natural Language Processing, Language+Vision (Penn State, PA)

  • Employer: Penn State University
  • Title: Postdoctoral Researcher
  • Specialty: Natural Language Processing, Language+Vision
  • Location: State College, PA
  • Deadline: December 31, 2022
  • Date posted: October 07, 2022

The LanguageX lab at Penn State (https://www.wenpengyin.org/languagex-lab), led by Prof. Wenpeng Yin, is looking for a postdoctoral researcher who can start to work as early as possible in 2023. The research area is flexible in Natural Language Processing (NLP), Language+Vision, or other language-driven AI problems.

Contract: two years with a competitive salary

Requirement: outstanding research record, such as your publications.

How to apply: Pls send your CV and Google Scholar to wyin.record@gmail.com if interested. Shortlist will be invited for interview.

IDEA Fellow: Ethical AI, Information Systems, and Data Science/Literacy (Stony Brook, NY)

  • Employer: Stony Brook University
  • Title: Lecturer
  • Specialty: Ethical AI, information systems, data science/literacy
  • Location: Stony Brook, NY
  • Deadline: October 17, 2022
  • Date posted: September 30, 2022

The Department of Linguistics at Stony Brook University is participating in a University-wide interdisciplinary hiring initiative, the IDEA (Inclusion, Diversity, Equity & Access) Fellows program. The full ad and job description are linked below. The overall initiative spans 5 key areas, and we specifically encourage applicants whose research interests are in "Ethical AI, Information Systems, and Data Science & Literacy".

Full ad and job description

This is a two-year lecturer position appointed at an annual salary of $80,000 with comprehensive state benefits, to commence in Fall 2023. The fellows will be part of a mentored research environment, with a modest teaching load. Multiple fellows will be hired across 5 thematic hiring areas. At the completion of this two-year position, fellows with an upward trajectory of scholarly achievement and a demonstrated contribution to inclusion, diversity, and equity will be invited to join the tenure-track faculty at Stony Brook University through an internal promotion process.

Candidates with PhDs (completed by the start date in Summer 2023) from all subfields whose interests and activities align with the IDEA Fellows program are encouraged to apply. The Department of Linguistics provides an excellent and collegial environment for research and scholarship.

Applications will be accepted until October 17, 2022.

Web Address for Applications: https://apply.interfolio.com/113220

Contact Information: Professor Lori Repetti lori.repetti@stonybrook.edu

Assistant Professor in Computational Linguistics (Montclair, NJ)

  • Employer: Montclair State University
  • Title: Assistant Professor
  • Specialty: Computational Linguistics
  • Location: Montclair, NJ
  • Deadline: The position is open until filled and application review begins immediately.
  • Date posted: September 10, 2022

The Department of Linguistics at Montclair State University invites candidates to apply for a tenure-track Assistant Professor in Computational Linguistics position starting on September 1, 2023.

Tenure Track Assistant Professor in Linguistics, with a primary specialization in computational linguistics. We seek candidates who are active researchers in a core linguistics area that complements existing departmental strengths. The successful candidate will play an important role in the continued development of our programs in computational linguistics at the graduate and undergraduate levels that prepare students for careers in industry as well as academia. The new faculty will be expected to teach undergraduate and graduate courses, have an active research agenda, and participate in graduate mentoring and student advisement. Willingness to provide service to the department, university and the larger professional community is also required. Demonstrated ability in grant seeking/writing is a plus. Link to submit your application: [ https://montclair.wd1.myworkdayjobs.com/en-US/JobOpportunities/details/Assistant-Professor-of-Linguistics--Computational-Linguistics_R1002553 ]

Further information about the department and the research interests of its faculty is available at [ http://www.montclair.edu/chss/linguistics/]

COLLEGE/SCHOOL AND DEPARTMENT DESCRIPTIONS The Linguistics Department at Montclair State, housed within the College of Humanities and Social Sciences, offers a wide variety of graduate and undergraduate programs including B.A. in Linguistics, M.A. in Applied Linguistics, and M.S. in Computational Linguistics (jointly with Computer Science). The undergraduate concentrations include ASL/English Interpreting, TESL, and Language Engineering. We also offer Graduate Certificates in Teaching English as a Second Language, Teaching English to Speakers of Other Languages, and Computational Linguistics. The Montclair State Linguistics Department faculty are all actively engaged in research.

THE UNIVERSITY Montclair State University is a nationally recognized R2 research doctoral institution that empowers students, faculty, and researchers to rise above their own expectations. Building on a distinguished history dating back to 1908, the University today has 10 colleges and schools that serve 21,000 undergraduate and graduate students with more than 300 doctoral, master’s and baccalaureate programs. Situated on a beautiful, 252-acre suburban campus just 12 miles from New York City, Montclair State welcomes a diverse population of students, many of whom are first generation, and delivers the instructional and research resources of a large public university in a supportive and sophisticated academic environment.

QUALIFICATIONS Earned Ph.D. in Linguistics or related discipline required at the time of appointment. Evidence of successful teaching experience at the undergraduate and graduate levels and an active research agenda in computational linguistics.

DIVERSITY, EQUITY & INCLUSION STATEMENT Montclair State University is committed to establishing and maintaining a diverse campus community that is representative of the State of New Jersey through inclusive excellence and equal opportunity. Montclair State University's commitment to access and equity is designed to prepare each graduate to thrive as a global citizen. As an affirmative action, equal opportunity institution we are working to support a campus-wide agenda to foster a community that both values and promotes the varied voices of our students, faculty, and staff. The University encourages candidates to apply who will contribute to the cultural tapestry of MSU and who value teaching a diverse student population, many of whom are first generation students.

SALARY RANGE Commensurate with experience STARTING DATE September 1, 2023

REQUIRED MATERIALS:

  • Cover letter, curriculum vitae, research and teaching statements, and representative publications, which can be uploaded during the application process.
  • 3 letters of recommendation, which can be sent to: lingsearch2022@montclair.edu

APPLY BY: The position is open until filled and application review begins immediately.

You can contact the chair of the search committee, Dr. Jonathan Howell, with questions on the position at lingsearch2022@montclair.edu.

AN EQUAL OPPORTUNITY/AFFIRMATIVE ACTION INSTITUTION



Postdoctoral fellow: Georgetown University Neuroscience of Language training program (Washington, DC)

  • Employer: Georgetown University
  • Title: Postdoctoral Fellow
  • Specialty: Neuroscience of Language
  • Location: Washington, DC
  • Deadline: Applications accepted on a rolling basis
  • Date posted: 20 July 2022

Georgetown University’s new Neuroscience of Language T32 training program is seeking postdoctoral fellows. The Neuroscience of Language program provides training in the brain basis of language, as well as sensory, motor, and cognitive systems as they pertain to language and communication. Georgetown has a number of faculty focused on Neuroscience of Language research, ranging from basic work on auditory or language processing (spoken, signed, and written language) to clinical trials in adults and children with brain injuries affecting language. Interactions with Georgetown’s highly regarded Linguistics Department, as well as Children’s National Hospital and MedStar National Rehabilitation Hospital, provide us with access to additional faculty and research populations and further enrich the training environment.

Individuals with doctoral degrees from any field related to Neuroscience of Language (Neuroscience, Cognitive Science, Linguistics, Psychology, Communication Disorders, etc.) are encouraged to apply. Fellows will be supported for two years and will develop an individualized training plan to provide expertise across disciplines important to Neuroscience of Language research. Fellows will take coursework as needed and will participate in a regular journal club and seminar series, clinical experiences, community engagement activities, and professional development activities, in addition to conducting research in the neuroscience of language. The overall goal of the program is to develop well-rounded scientists who have a broad perspective on basic and clinical Neuroscience of Language.

Fellows will work with one or more of the following investigators: Drs. Thomas Coate, Guinevere Eden, Rhonda Friedman, William Gaillard, Anna Greenwald, Xiong Jiang, Elissa Newport, Josef Rauschecker, Max Riesenhuber, Ella Striem-Amit, Ted Supalla, Peter Turkeltaub, and Michael Ullman. Collaborations among our faculty are common and a strength of our program.

Appointments are funded at standard NIH NRSA stipend rates, with an initial one-year term to be renewed for an additional year if fellows meet the program requirements.

U.S. citizens or permanent residents who currently hold a doctoral degree or will have met all doctoral program requirements before starting the program are eligible to apply. Individuals from groups recognized to be underrepresented in the sciences are encouraged to apply.

Please submit the following application materials via the application form.

  • CV
  • Personal statement describing career goals, prior research, goals for postdoctoral training, and lab(s) of interest (3 pages)
  • Names and contact information for three references
  • Writing sample (manuscript or dissertation)

Contact Dr. Peter Turkeltaub (peter.turkeltaub@georgetown.edu) with any questions about the program or eligibility. Contact Rachel Galginaitis (rg1171@georgetown.edu) with questions about the application process.

Postdoctoral researcher in Explainable AI - and Medical Natural Language Processing (KU Leuven, Belgium)

  • Employer: KU Leuven – Katholieke Universiteit Leuven
  • Title: Postdoctoral Researcher
  • Specialty: NLP, Explainable AI, Argumentation, Clinical NLP
  • Location: Leuven, Belgium
  • Deadline: 31 July 2022
  • Date posted: 14 July 2022

We offer a two-year research position for a postdoctoral or predoctoral scientist on the topic of explainable AI in the context of natural language processing of clinical reports at the Department of Computer Science, KU Leuven.. The position is financed by the CHIST-ERA project ANTIDOTE (ArgumeNtaTIon-Driven explainable artificial intelligence fOr digiTal mEdicine). The project focuses on deep learning models for text classification (e.g. diagnosis prediction) in the medical domain, where the need for high quality explanations of clinical decisions is critical. The project proposes an integrated approach for the understanding of textual medical data and the generation of a textual explanation to justify a medical diagnosis made by a neural network, so that clinicians can judge its validity. The partners of the ANTIDOTE project provide annotated argumentative structures of natural language explanations of medical decisions (human explanations). We will also leverage larger-scale data (without annotated explanation) in order to improve explanation generation. One way would be to use feature importance techniques (Integrated gradients, LIME or preferably search-based methods) applied to models trained to perform medical decisions, to guide explanation generation. KU Leuven is declared the most innovative university in Europe by Reuters four years in a row and is ranked 42th on the Times Higher Education World University Ranking (2022).

Offer

  • We offer a research position for 2 years starting September 1 or the latest October 1, 2022.
  • We offer a competitive wage and yearly budget to attend conferences.
  • We offer the opportunity for personal development beyond research including the supervision of master and PhD students and the possibility to contribute to teaching.
  • Access to our deep learning cluster which contains the latest GPU hardware.

If interested,please apply the latest by July 31, 2022. Excellent candidates will be invited for an online interview. The position will be closed once a suitable candidate is found.

Responsibilities

  • Perform fundamental research in natural language processing, machine learning and explainable AI resulting in publications in highly-ranked venues.
  • Collaborate with the other European partners of the ANTIDOTE project.
  • Carry out some (light) teaching duties if interested, which may include lectures, the organization of student seminars, and the supervision of bachelor and master theses.

Profile

  • You have (or are near completion of) a master or PhD in Computer Science .
  • Given that we have to fill in the research position very soon, we will only consider applicants who can work at KU Leuven, Belgium without visa.
  • You have a demonstrated expertise in machine learning, deep neural networks and natural language processing. Expertise in structured prediction and/or structured generation is a plus.
  • You have an outstanding track record of publications in relevant international peer-reviewed A ranked conferences and in journals with high impact factor in the fields of machine learning and natural language processing.
  • You are good at collaborating with others.
  • You work proactively and independently and have good communication skills.
  • You have an excellent knowledge of the English language, both spoken and written as well as of another European language (e.g., French, Spanish or Italian).
  • You are highly motivated, ambitious and result-oriented.

For more information please contact Dr Damien Sileo mail: damien.sileo@kuleuven.be or Prof. Dr. Marie-Francine Moens, mail: sien.moens@kuleuven.be with [XAI22] in your e-mail subject and a CV.


Research Fellow in Natural Language Processing (AI Research Center, Japan)

  • Employer: AIRC, Japan
  • Title: Research Fellow in Natural Language Processing
  • Specialty: NLP, neural information extraction, deep learning
  • Location: Tokyo, Japan
  • Deadline: 15 July 2022
  • Date posted: 14 June 2022
  • Contact: Prof. Sophia Ananiadou sophia.ananiadou@manchester.ac.uk, Prof. Makoto Miwa makoto-miwa@toyota-ti.ac.jp


This is an exciting opportunity to work with an international team hosted by the Artificial Intelligence Research Center in Tokyo to develop novel neuro-symbolic information extraction techniques for a project funded by the Japan Medical Research Council on NLP for cancer immune-oncology, under the overall supervision of Prof. Junichi Tsujii (https://www.airc.aist.go.jp/en/intro/). NLP methods will include relation and event extraction, distant supervision and temporal relation extraction. You will be working with teams of NLP researchers at AIRC/AIST in Japan (https://www.airc.aist.go.jp/en/) and at the UK National Centre for Text Mining (http://www.nactem.ac.uk/). The fellowship is available for two years, with the possibility of extension. We are looking for candidates with expertise in deep learning for information extraction, with a proven publication track record in ACL, EMNLP, Coling, etc.

Essential knowledge, skills and experience:

  • A good first degree in Computer Science or related discipline and a PhD in Computer Science with an emphasis on Natural Language Processing and Deep Learning.
  • Experience in developing algorithms for NLP systems using deep learning, language models and transformers.
  • Experience in neural information extraction and event extraction using semi-supervised, distantly-supervised and few-shot approaches.
  • Proven track record of publications in conferences such as ACL, EMNLP, Coling and AAAI.
  • Excellent programming skills, and familiarity with Linux development environments and deep learning libraries (preferably PyTorch)
  • Fluent in English with excellent academic writing skills.

Duration: full time position, 24 months, with possibility of extension.

Salary: in the range of 6,5M yen to 8M yen per year, depending on experience and qualifications.

Location of appointment: AIRC/AIST Tokyo, Waterfront, Japan.

To apply, please email your CV and the names of 3 referees to Prof. Sophia Ananiadou (Sophia.ananiadou@manchester.ac.uk) and Prof. Makoto Miwa (makoto-miwa@toyota-ti.ac.jp). Enquiries may also be directed to these addresses.

Deadline for applications: 15/07/2022.


Postdoctoral Researcher in NLP, University of Southampton, United Kingdom

  • Employer: University of Southampton
  • Title: Research Fellow in Natural Language Processing
  • Specialty: NLP, Computational Linguistics
  • Location: Southampton, United Kingdom
  • Deadline: 26th June 2022
  • Date posted: 6th June 2022
  • Duration: 24 months
  • Details and application forms at: https://jobs.soton.ac.uk/Vacancy.aspx?ref=1562021FP-2R
  • Contact: Stuart Middleton

You will join our team working on deep learning-based Natural Language Processing (NLP) models for behaviour classification as part of the ProTechThem (Building Awareness for Safer and Technology-Savvy Sharenting) research project. The post will be in the Agents, Interaction and Complexity (AIC) group, which is part of the department of Electronics and Computer Science (ECS) at the University of Southampton. The AIC group leads a number of nationally important research centres including the UKRI Trustworthy Autonomous System Research Hub (tas.ac.uk) and the UKRI MINDS Centre for Doctoral Training (mindscdt.ai).

The ProTechThem project (www.protechthem.org) is exploring how criminology and computer science can enable better targeted awareness-raising activities and to improve the tools we currently have to study, prevent and mitigate the negative impacts of sharenting practices. Sharenting is the sharing of identifying and sensitive information of minors and can introduce significant risks including negative psychological repercussions and pathways to child abuse and identity fraud/theft.

We are looking for applicants who have experience with deep learning-based NLP models and are interested in adapting this experience to the area of text classification and information extraction. Your role will be to research and develop deep learning-based NLP models for risky behaviour classification applied to short and long online conversations on forums and social media. Sharenting is an interesting domain with emergent vocabulary, so you will have the opportunity to gain experience with NLP methods that can work with limited training resources and human-in-the-loop training regimes.


PhD Position “Computer Science: Natural Language Processing & Semantic Web Technologies” (m/f/d), TIB – Leibniz Information Centre for Science and Technology, Germany

  • Employer: TIB – Leibniz Information Centre for Science and Technology and University Library
  • Title: PhD Candidate
  • Specialty: NLP, Computational Linguistics, Software Engineering, Computer Science
  • Location: Hannover, Germany
  • Deadline: 30 June 2022
  • Date posted: 31 May 2022

Description

The PhD topics will be in the context of the Open Research Knowledge Graph (https://www.orkg.org) and the project “SCINEXT - Neural-Symbolic Scholarly Innovation Extraction”, funded by the Federal Ministry of Education and Research (BMBF). The aim of these projects is to research and develop techniques for crowdsourcing, representing and managing semantically structured, rich representations of scholarly contributions and research data in knowledge graphs and thus develop a novel model for scholarly communication. In the context of the PhD thesis you will be responsible for building and maintaining the ORKG data ingestion and processing pipelines to ensure the flow of high-quality semantified resources from publications. Your main responsibility in this position will be to build scalable solutions that crawl, ingest, process publications, and thereby enrich the ORKG. You will work alongside the ORKG engineering team to set up the AI/NLP ecosphere.

Your tasks will focus on

  • Working in the areas of Natural Language Processing (text mining, information extraction, information retrieval/search) and Machine Learning of scholarly communication media (digital) data.
  • Identifying and implementing the tools and algorithms appropriate for Natural Language Processing assignments to enhance the NLP system currently in place.
  • Conceptually designing, modeling, and implementing data-driven services for information retrieval and extraction, data enrichment, and linking of data.
  • Carrying out evaluation experiments and training the developed model.

Web Address for Applications: https://www.tib.eu/en/tib/careers-and-apprenticeships/vacancies/details/stellenausschreibung-nr-31-2022

Contact: Dr. Jennifer D'Souza jennifer.dsouza@tib.eu


PhD Position “Computer Science: Computational Linguistics & Corpus Annotation” (m/f/d), TIB – Leibniz Information Centre for Science and Technology, Germany

  • Employer: TIB – Leibniz Information Centre for Science and Technology and University Library
  • Title: PhD Candidate
  • Specialty: NLP, Computational linguistics, Corpora annotation
  • Location: Hannover, Germany
  • Deadline: 30 June 2022
  • Date posted: 31 May 2022

Description

The PhD topics will be in the context of the Open Research Knowledge Graph (https://www.orkg.org) and the project “SCINEXT - Neural-Symbolic Scholarly Innovation Extraction”, funded by the Federal Ministry of Education and Research (BMBF). The aim of these projects is to research and develop techniques for crowdsourcing, representing and managing semantically structured, rich representations of scholarly contributions and research data in knowledge graphs and thus develop a novel model for scholarly communication. In the context of the PhD thesis you will be responsible for conducting independent and original scientific research involving corpus development and annotation in organizing research contributions in the ORKG in a structured, semantic way, so other researchers can get a quick overview on the state-of-the-art in the field. You will participate in local, national and international collaboration activities. Given the multidisciplinary nature of the programme, we encourage applicants with a strong curiosity and interest in Science to apply.

Your tasks will focus on

  • Collaborating with researchers from different disciplines to gain familiarity with research problems and their contribution descriptions expressed in scholarly literature.
  • Conceptually designing, modelling and implementing ontology-based knowledge representations for crowdsourcing of the Open Research Knowledge Graph.
  • Annotation and curation of multidisciplinary scholarly contribution descriptions.

Web Address for Applications: https://www.tib.eu/en/tib/careers-and-apprenticeships/vacancies/details/stellenausschreibung-nr-32-2022

Contact: Dr. Jennifer D'Souza jennifer.dsouza@tib.eu


Research Associate in Online Toxicity Mitigation (Heriot-Watt University, Edinburgh UK)

  • Employer: Heriot-Watt University
  • Title: Research Associate in Online Toxicity Mitigation
  • Specialty: NLP, Conversational AI, deep learning
  • Location: Edinburgh, UK
  • Deadline: 22 July 2022
  • Date posted: 23 May 2022
  • Contact: Prof. Verena Rieser v.t.rieser@hw.ac.uk


This is an exciting opportunity to work within multi-disciplinary team to develop novel toxicity mitigation techniques for a project funded by the UK Research Council EPSRC on Detection and Mitigation of online Gender Based Violence. You will be working with teams of researchers working in NLP, Social Science and Education. The project is hosted at the Interaction Lab ([14]), one of the biggest research groups in Conversational AI, and is in collaboration with the University of Edinburgh and third sector charities specialising in online abuse and GBV. The post is available for three years. We are looking for candidates with expertise in neural approaches to natural language generation, or closely related fields, with a proven publication track record in ACL* venues etc.

Essential knowledge, skills and experience:

  • Experience (at PhD level) in Natural Language Processing, Machine Learning or closely related fields
  • Evidence of a publication record in the aforementioned areas.
  • Excellent programming skills, and familiarity Deep Learning frameworks.
  • Fluent in English with excellent academic writing skills.

Duration: full-time position, 12-36 months.

Salary: in the range of £33,300 - £40,900 per year, depending on experience and qualifications.

Location of appointment: Heriot-Watt University, Edinburgh, UK

To apply, please email follow instructions here: [15]

Informal enquiries can be directed to Prof. Verena Rieser v.t.rieser@hw.ac.uk

Deadline for applications: 22/07/2022.

Research Fellow in Natural Language Processing (AI Research Center, Japan)

  • Employer: AIRC, Japan
  • Title: Research Fellow in Natural Language Processing
  • Specialty: NLP, neural information extraction, deep learning
  • Location: Tokyo, Japan
  • Deadline: 31 May 2022
  • Date posted: 3 May 2022
  • Contact: Prof. Sophia Ananiadou sophia.ananiadou@manchester.ac.uk, Prof. Makoto Miwa makoto-miwa@toyota-ti.ac.jp


This is an exciting opportunity to work with an international team hosted by the Artificial Intelligence Research Center in Tokyo to develop novel neuro-symbolic information extraction techniques for a project funded by the Japan Medical Research Council on NLP for cancer immune-oncology, under the overall supervision of Prof. Junichi Tsujii (https://www.airc.aist.go.jp/en/intro/). NLP methods will include relation and event extraction, distant supervision and temporal relation extraction. You will be working with teams of NLP researchers at AIRC/AIST in Japan (https://www.airc.aist.go.jp/en/) and at the UK National Centre for Text Mining (http://www.nactem.ac.uk/). The fellowship is available for two years, with the possibility of extension. We are looking for candidates with expertise in deep learning for information extraction, with a proven publication track record in ACL, EMNLP, Coling, etc.

Essential knowledge, skills and experience:

  • A good first degree in Computer Science or related discipline and a PhD in Computer Science with an emphasis on Natural Language Processing and Deep Learning.
  • Experience in developing algorithms for NLP systems using deep learning, language models and transformers.
  • Experience in neural information extraction and event extraction using semi-supervised, distantly-supervised and few-shot approaches.
  • Proven track record of publications in conferences such as ACL, EMNLP, Coling and AAAI.
  • Excellent programming skills, and familiarity with Linux development environments and deep learning libraries (preferably PyTorch)
  • Fluent in English with excellent academic writing skills.

Duration: full time position, 24 months, with possibility of extension.

Salary: in the range of 6,5M yen to 8M yen per year, depending on experience and qualifications.

Location of appointment: AIRC/AIST Tokyo, Waterfront, Japan.

To apply, please email your CV and the names of 3 referees to Prof. Sophia Ananiadou (Sophia.ananiadou@manchester.ac.uk) and Prof. Makoto Miwa (makoto-miwa@toyota-ti.ac.jp). Enquiries may also be directed to these addresses.

Deadline for applications: 31/05/2022.

Permanent research position in NLP at the Norwegian Computing Center, Oslo, Norway

  • Employer: Norwegian Computing Center (NR), Oslo, Norway
  • Title: Research Scientist
  • Specialty: NLP, Language Technology, Computational Linguistics, Machine Learning
  • Location: Oslo, Norway
  • Deadline: Open-ended
  • Date posted: March 31, 2022
  • Contact: plison@nr.no


We have a vacancy for a permanent research position in language technology at the Norwegian Computing Center (NR) in Oslo, Norway. We seek candidates with broad expertise in the field of NLP and the ability to work on different types of R&D projects. The position will be associated with the SAMBA research department, which currently has 52 researchers.

The researcher will be expected to participate in several research projects. In particular, we are currently leading a large interdisciplinary research project on anonymization of textual data in collaboration with legal scholars, data security experts and researchers in health informatics. We also conduct research on spoken dialogue systems, human-robot interaction, multilingual language resources and information extraction on large amounts of texts. We also work closely with the University of Oslo, and many of our research projects are carried out in collaboration with various research groups in Norway and internationally.

You must be interested in applied research in language technology and machine learning. The applicant must hold a doctorate in language technology or computational linguistics, or a master degree combined several years of research experience. In addition, you must have good programming skills and the ability to work both independently and in teams.

Applicants must be fluent in English, both verbally and in writing. Knowledge of Norwegian or another Scandinavian language is an advantage, as several of our research projects focus on Norwegian text data. Experience in securing funding for R&D projects is also appreciated.

For more information, please visit the application website.

We offer:
We offer a 100% permanent position, good salary conditions, pension and insurance schemes, flexible working hours, 5 weeks of holiday in addition to paid leave during Christmas and Easter, and our own staff canteen. Good training and development opportunities in an inspiring work environment together with colleagues in language technology, machine learning, statistical modelling and image analysis.

The Norwegian Computing Center is located in Kristen Nygaard's house at the Research Park at Blindern in Oslo. Negotiable starting date. We look forward to hearing from you.

About us:
Norsk Regnesentral (NR) is an independent, non-profit and non-profit private foundation that conducts contract research for business and public enterprises both in Norway and internationally. Our core research areas are statistical modelling, machine learning, artificial intelligence and ICT. Our clients are business and public administration, the EU and the Research Council of Norway.

The institute has 98 employees and is one of Europe's largest research institute within applied statistics. Major applications are petroleum, finance and insurance, earth observation, climate and environment, fisheries and aquaculture, health, image analysis and artificial intelligence. Research in ICT include cybersecurity, smart sensors, e-inclusion and universal design.

Summer grad student paid intern in NLP, Florida Institute for Human & Machine Cognition, Florida, USA

  • Employer: Florida Institute for Human & Machine Cognition
  • Title: Summer grad student intern in NLP and multilingual adaptation
  • Specialty: NLP, Computational Linguistics
  • Location: Pensacola/Ocala Florida (may work remotely)
  • Deadline: March 15, 2022 (for best consideration)
  • Date posted: February 28, 2022
  • Duration: 3 months (approx. May 16 – Aug 15)
  • Contact: Brodie Mather (bmather@ihmc.org)
  • Eligibility: US Citizen
  • Remote options available

The Florida Institute for Human and Machine Cognition (ihmc.org) invites applications for a paid student research position on a 3-month summer project (approximately mid May through mid August) to develop multi-disciplinary technology for novel approaches to multilingual adaptation that transcends practices used today for natural language processing (NLP). It is expected that this project will lead to advanced study and/or a dissertation topic in areas such as computational linguistics and social science. If you are interested in this opportunity, please send a resume and cover letter to Brodie Mather (bmather@ihmc.org). US Citizenship required. Remote options available.

  • Requirements: We seek students with a background in computer science who also have an interest and (preferably) experience in one of: computational linguistics, natural language processing tools, machine learning, or a related discipline.
  • General requirements: The successful candidate is a student in a PhD or Masters program in one of the aforementioned areas with a strong interest in doing research, and with excellent writing skills. In addition, the candidate has proven experience with developing computational techniques and models from unstructured data.
  • What we offer: Researchers at IHMC pioneer technologies aimed at leveraging and extending human capabilities. Our human-centered approach often results in systems that can be regarded as cognitive, physical, or perceptual in nature. Research in such areas requires a broader interdisciplinary range than is typically found in one organization. Thus IHMC staff includes computer scientists, cognitive psychologists, neuroscientists, linguists, physicians, philosophers, engineers and social scientists of various stripes, as well as some people who resist all attempts to classify them.
  • Applications are sent to Brodie Mather (bmather@ihmc.org) and must include: (1) A cover letter (maximum two pages); (2) Curriculum Vitae; (3) Names of two references. Applications will be accepted until the position is closed; apply by March 15 for best consideration.

PhD Fellowship in Privacy-Enhancing NLP (University of Oslo, Norway)

Text documents often include personal data in one form or another (for instance clinical notes or court judgments). As stipulated by privacy regulations such as GDPR, personal information cannot typically be shared to third parties without the informed consent of the registered individuals. An alternative is to anonymize the data; that is, to edit the documents such as to mask all (direct or indirect) personal identifiers. However, the task of text anonymization remains an open problem and an active research area in Natural Language Processing. The successful candidate for this PhD fellowship position will contribute to research in the field of Privacy-Enhancing NLP. Areas of special interest are text anonymization and the development of automated adversaries to evaluate the robustness of anonymization methods against re-identification attacks.

The fellowship position is located at the Department of Informatics, and specifically in the Language Technology Group (LTG). LTG conducts research on a broad range of NLP topics including semantic parsing, sentiment analysis, text anonymization and large-scale language modeling. While the research profile of the group is heavily machine-learning oriented, projects conducted at LTG typically combine data-driven approaches with an interest for linguistic analysis and insight.

The PhD fellowship will be part of a collaboration with the research group on Digital Security (SEC), which works on different topics within information security, including cyber threat intelligence, ethical hacking, data privacy and post-quantum cryptography. The SEC research group collaborates with external partners with heightened security requirements. Therefore, applicants to this position must be able to receive Norwegian security clearance.

The PhD will be co-supervised by Pierre Lison (LTG) and Nils Gruschka (SEC).

PhD scholarship in NLP and Second Language Acquisition (Univ. of Lisbon, Tübingen Univ, Lancaster Univ.)

Applications are invited for a three-year PhD position in Natural Language Processing applied to foreign language learning and teaching at the Linguistics Center of the University of Lisbon (CLUL). The deadline for applications is February 28, 2022. For additional information, including salary and application details, please visit: https://euraxess.ec.europa.eu/jobs/733640

The aim of the PhD project is to research, develop and evaluate a digital tool supporting the acquisition of Portuguese as a Foreign or Heritage language. The work can build on the existing ICALL approaches developed at the University of Tübingen for English and German (http://icall-research.de). The goal is to support learners in selecting texts that support noticing of key target structures and provide practice opportunities. The computational linguistic analysis can build on recent findings about linguistic structures that are acquired late by heritage speakers of Portuguese and include an empirical validation in the context of the network maintained by the Camões Institute across the globe.

The PhD project will be co-supervised by Professor Amália Mendes (University of Lisbon), Professor Detmar Meurers (University of Tübingen), and Professor Patrick Rebuschat (Lancaster University). The successful applicant will be integrated in the Heritage Language Consortium (HL2C), a strategic partnership between six European universities and the Camões Institute, a branch of the Portuguese Ministry of Foreign Affairs. Further details on the HL2C can be found on our website: http://wp.lancs.ac.uk/heritage-language/

Postdoctoral Associate in Natural Language Processing, University of Florida, Dept of Computer & Information Science & Engineering (CISE)

  • Employer: University of Florida, Dept of Computer & Information Science & Engineering (CISE)
  • Title: Postdoctoral Associate (2 years with possibility of an extension)
  • Specialty: Natural Language Processing and AI
  • Location: Gainesville, FL
  • Deadline: Jan 5, 2022 (for best consideration) or until filled
  • Date posted: Dec 17, 2021
  • Start date: Feb 2022 through late spring or early summer [THIS POSITION HAS BEEN FILLED]
  • Apply here: https://explore.jobs.ufl.edu/cw/en-us/job/519571/postdoc-associate
  • Contact: Dr. Bonnie Dorr bonniejdorr@ufl.edu

The University of Florida invites applications for a postdoctoral associate appointment in natural language processing, beginning late spring or early summer of 2022. Will explore, design, and implement innovative approaches to tackling real-world problems in social computing, semantic analysis, and multilingual applications, with an eye toward explainability in artificial intelligence solutions, coinciding with UF’s recent commitment to a university-wide artificial intelligence initiative (https://ai.ufl.edu/). UF CISE is committed to creating an environment that affirms diversity and inclusion across a variety of dimensions. More details and application submission instructions are provided at the “Apply here” link above. Review of applications will begin on Jan 5, 2022 and will continue until the position is filled. To ensure full consideration applications should be completed by that date.

6 Lectureships (Assistand Professors) in School of Computing, University of Leeds, United Kingdom

Faculty position (open rank) in Computational Linguistics/Natural Language Processing at Yale University

  • Employer: Department of Linguistics at Yale University
  • Assistant, Associate or Full Professor
  • Specialty: Computational Linguistics
  • Location: New Haven, CT
  • Deadline: November 30, 2021 (review of application begins)
  • Date posted: November 8, 2021
  • Apply here: https://apply.interfolio.com/96373
  • Contact: Bob Frank

Yale University seeks to make an open rank faculty appointment in the area of Computational Linguistics/Natural Language Processing (NLP), to begin in Fall 2022. The selected scholar will have a primary appointment in the Department of Linguistics, with a secondary appointment in either the Department of Statistics & Data Science or the Department of Computer Science. They will teach both introductory and advanced courses in Computational Linguistics/NLP at the undergraduate and graduate levels, and advise student research. This position is part of the university’s commitment to expansion in the area of integrative data science.

The selected candidate will have a highly productive and visible research program that engages with both the linguistics and NLP/machine learning communities. Applicants at the senior level should have demonstrated excellence in teaching and advising. A PhD or equivalent degree in a relevant discipline is required at the time of hire.

Yale University is an Affirmative Action/Equal Opportunity Employer, and we especially encourage applications from women, persons with disabilities, protected veterans, and members of underrepresented minority groups.

Assistant Professor of Teaching, Computational Linguistics (tenure-track) at UBC

  • Employer: Department of Linguistics at the University of British Columbia
  • Assistant Professor of Teaching
  • Specialty: Computational Linguistics
  • Location: Vancouver, British Columbia
  • Deadline: December 10, 2021
  • Date posted: November 8, 2021
  • Additional information: https://linguistics.ubc.ca/job-opportunities/asst-prof-teach-cl/

The Department of Linguistics at the University of British Columbia, Vancouver, invites applications for a tenure-track position in Computational Linguistics to begin July 1, 2022, with appointment at the rank of Assistant Professor of Teaching. The successful candidate will be joining the team of faculty and staff who run UBC’s Master of Data Science – Computational Linguistics program. For details on this program, see https://masterdatascience.ubc.ca/programs/computational-linguistics/.

The rank of Assistant Professor of Teaching is a classification within what UBC terms the “Educational Leadership” stream. The primary responsibilities of this position involve teaching and educational leadership, rather than research. Specific information on the Educational Leadership stream at UBC can be found at the following link: http://ctlt.ubc.ca/programs/all-our-programs/teaching-and-educational-leadership/.

The successful candidate will be expected to maintain an active program of excellent (1) teaching, which will include a variety of courses, mostly at the graduate level within the Master of Data Science – Computational Linguistics program, but potentially also outside the program at the undergraduate level (2) educational leadership, especially in the area of curriculum or program development, and (3) service (typical service includes participating in departmental meetings, serving on select departmental/faculty/university committees, and advising graduate students)


Assistant Professor, Computational Linguistics (tenure-track) at UBC

  • Employer: Department of Linguistics at the University of British Columbia
  • Assistant Professor
  • Specialty: Computational Linguistics
  • Location: Vancouver, British Columbia
  • Deadline: December 10, 2021
  • Date posted: November 8, 2021
  • Additional information: https://linguistics.ubc.ca/job-opportunities/asst-prof-cl/

The Department of Linguistics at the University of British Columbia invites applications for a tenure-track position in Computational Linguistics to begin July 1, 2022, with appointment at the rank of Assistant Professor.

Candidates must have a Ph.D. in Linguistics, Computer Science or a closely related field and have demonstrable expertise in speech technology, in the context of speech and language processing or computational linguistics. We especially encourage applicants who embrace a multifaceted approach to speech processing, for example combining methods and insights from speech technology with more traditional linguistic inquiry. The candidate will have a record of or potential for high-quality research and teaching at the graduate and undergraduate levels in speech technology (incorporating machine learning), plus at least one of the following areas: NLP; computational phonology, phonetics or morphology; computational approaches to low-resource languages.

The Department of Linguistics at UBC has recently established a new professional Master of Data Science program dedicated to Computational Linguistics. The successful candidate will teach and supervise graduate students in the MDS-CL and Linguistics programs, as well as in the undergraduate Linguistics and Speech Sciences programs. Experience in the tech industry is an asset but not a requirement. This position also offers the opportunity for membership in multiple interdisciplinary groups — including the Artificial Intelligence Methods for Scientific Impact (AIM-SI) research cluster (part of the Centre for AI Decision-making and Action), as well as UBC’s Language Sciences Institute.

Research Scientist, Natural Language Processing at Educational Testing Service, Princeton, NJ

  • Employer: Educational Testing Service
  • Title: Research Scientist, Natural Languge Processing
  • Specialty: Computational Linguistics
  • Location: Princeton, NJ
  • Deadline: Until filled
  • Date posted: Oct 6, 2021
  • Apply here: https://bit.ly/2ZP1VjD

Educational Testing Service (ETS), headquartered in Princeton, NJ, is seeking a Natural Language Processing, speech, or spoken dialog systems Research Scientist in the Learning and Assessment Foundations and Innovations (LAFI) Center.

You will join a team that is exploring ways to assess and improve speech and literacy skills and conduct research that will inform personalized learning solutions. Working on foundational research designed to make scientific advances in the field and on applied research that informs the development of practical classroom solutions, you will:

  • Research, develop and evaluate novel speech and text processing algorithms for educational applications.
  • Conceptualize, propose, obtain funding for, and direct projects which may include foundational and applied research projects and development of tools and research prototypes that make use of speech and NLP technologies.
  • Document and disseminate results of research and/or development projects through publications and presentations.

Requirements:

  • Ph.D. in Engineering, Computer Science, Natural Language Processing, Computational Linguistics, or similar area, with a focus on speech or spoken dialog systems preferred.
  • Published state-of-the-art NLP methods and have strong software engineering skills.
  • Research and/or development experience in speech or language processing.
  • Expertise with NLP systems and fluency in one major programming language (e.g., Python or Java)

Why ETS?

ETS believes in the life-changing power of learning. For more than 70 years, the vision of what’s possible when all people can improve their lives through education has driven our commitment to quality, equity and fairness. Founded as a nonprofit in 1947, ETS develops, administers and scores tens of millions of tests annually — including the TOEFL® and TOEIC® tests, the GRE® tests and The Praxis Series® assessments. But we are so much more than the tests we deliver. With our mission to advance quality and equity in education in mind, we also deliver groundbreaking research and learning solutions to help a broad spectrum of stakeholders understand what’s possible and identify the steps to get there. ETS’s staff members are passionate about using their wide-ranging expertise to improve teaching and learning.

EDUCATIONAL TESTING SERVICE requires all new hires to either certify that they have been fully vaccinated or request and obtain an exemption due to medical or religious reasons by their start date.

EDUCATIONAL TESTING SERVICE is an Equal Opportunity and Affirmative Action Employer of Women and Minorities.

EDUCATIONAL TESTING SERVICE is an Equal Opportunity and Affirmative Action Employer of protected Veterans and Individuals with Disabilities.

EDUCATIONAL TESTING SERVICE is a Drug-free workplace.


Assistant Professor in Computational Language Science AI, University of Florida Department of Linguistics

  • Employer: University of Florida, Department of Linguistics
  • Title: Assistant Professor
  • Specialty: Computational Language Science AI
  • Location: Gainesville, FL
  • Deadline: Nov 22, 2021 (for best consideration) or until filled
  • Date posted: Sep 29, 2021
  • Start date: Aug 16, 2022
  • Apply here: https://apply.interfolio.com/95755
  • Contact: Dr. Stephanie Wulff swulff@ufl.edu

The University of Florida invites applications for a tenure-track appointment in computational language science at the rank of Assistant Professor, beginning August 16, 2022. This is a full-time, nine-month, tenure-accruing position. Candidates should have an active research agenda studying any aspect of language from a computational perspective. Specializations include, but are not limited to, computational linguistics, sociolinguistics, neuro/psycholinguistics, corpus linguistics, computational semantics, phonetics, and/or phonology.

UF has recently committed to a university-wide artificial intelligence initiative along with a major super-computing collaboration with NVIDIA (ai.ufl.edu). Thus, we particularly encourage applications from candidates whose research explores artificial intelligence, natural language processing, or computational algorithms, as well as their societal implications. The latter may include issues of equity, bias, accountability, transparency, or inclusivity.

The Department of Linguistics seeks to train the next generation of linguists who are comfortable integrating computational approaches into their research in revealing and societally responsible ways. Ability to teach computationally-oriented courses is required. Candidates must hold the Ph.D. in linguistics, computer science, or a closely-related field by August 15, 2022. Review of applications will begin on Nov 22, 2021 and will continue until the position is filled. UF Linguistics is committed to creating an environment that affirms diversity and inclusion across a variety of dimensions.


Postdoc Position in Computational Social Science at ETH Zurich

More info and application link here.


PhD/Postdoc Position in Computational Linguistics at Tübingen University

The Division of General and Computational Linguistics in the Department of Linguistics at the University of Tübingen, Germany is searching for a Computational Linguist with a specialization in any subarea of computational linguistics.

Duties for this post include teaching one course in computational linguistics per semester (with English as the language of instruction), independent research, and participation in externally-funded, on-going research projects. Further information about the department can be found at https://uni-tuebingen.de/en/133894.

The starting date for the position is January 1, 2022. The period of appointment is for three years.

The position is at the rank of "Wissenschaftlicher Mitarbeiter" (qualification: Ph.D. preferred; M.Sc., M.A. or equivalent required). Salary will be according to the German Salary System TV-L 13, 100%.

Applications should include CV, an outline of research experience/interests, as well as contact data of at least two references. Applications should be sent by November 1, 2021 to acl-jobs@sfs.uni-tuebingen.de.

The University of Tübingen wishes to increase the proportion of women in research and teaching. Individuals with disabilities are strongly encouraged to apply and will be given preferential consideration when their qualifications are equivalent to those of other applicants.

15 Fully-Funded PhDs at University of Essex for 2022 Start

  • Employer: School of CSEE, University of Essex
  • Title: PhD
  • Specialty: Deep Learning for NLP, Information Extraction, Coreference Resolution, Conversational AI, Low resource learning
  • Location: Colchester, UK
  • Deadline: 28th September 2021
  • Contact: Juntao Yu

Interested in doing a PhD in the Natural language processing?

The School of Computer Science and Electronic Engineering (CSEE), University of Essex, is delighted to announce 15 fully funded PhD Studentships covering Home fees of (£5,360 for 2021-22) plus stipend. Stipends will match standard EPSRC rates (£15,609 for 2021-22). Studentships are for a period of 3 years and start from 25 April 2022.

EU and International candidates are welcome (Please contact me for more details about options to cover the additional international fees). If you want to do a PhD with me in natural language processing, please to get in touch with me. The application closes on the 28th of September.

Here are some example PhD topics:

  • Coreference Aware Conversational agents
  • Out-of- KB Entities Representation for Entity Linking
  • Training Data Generating with Contextual Language Models

By doing PhD with me you will also get opportunities to collaborate with researchers from our collaborators (e.g. Google, IBM and Prof. Massimo Poesio’s research group at Queen Mary University of London)

All applications needs to be submitted though the link


Two machine learning faculty positions at AUEB, Dept. of Informatics, Athens, Greece

Two faculty positions at the Athens University of Economics and Business (AUEB), Dept. of Informatics, Athens, Greece:

  1. Associate Professor, Machine Learning. Seeking candidates working mainly on the theoretical analysis and design of ML algorithms (to a lesser extent ML applications), esp. algorithms for deep learning, with publications in top-tier ML venues (e.g., JMLR, NeurIPS, ICML). https://service-apella.grnet.gr/apella/ui/positions/22554
  2. Assistant Professor, Machine Learning in Information Retrieval and Data Mining for Large Document Collections. Seeking candidates working in the intersection of ML (esp. deep learning) with at least one (ideally several) of: IR, NLP, data mining, document intelligence (incl. semi-structured and multimedia docs), with publications in top-tier respective venues (e.g., NeurIPS, ICML, SIGIR, *ACL/EMNLP, KDD). https://service-apella.grnet.gr/apella/ui/positions/22550

For both positions: Deadline Sept. 13, 2021. Fluency in Greek (C1 level) required. Opportunities to cooperate with AUEB colleagues/groups working in related areas (e.g., ML, IR, NLP, data mining, big data, data science, distributed processing, computer graphics, computer vision) and/or to start your own group, to participate in research projects and proposals, teach undergraduate and graduate related courses (e.g., in our MSc programs in CS, Data Science, Information Systems), collaborate with a vibrant ecosystem of ML-related startups in Athens, while enjoying life in Greece.

For informal queries contact Prof. Ion Androutsopoulos (http://www.aueb.gr/users/ion/, ion@aueb.gr). Date posted: July 10, 2021.

Postdoctoral opportunity in Natural Language Processing at DTU, Copenhagen, Denmark, in collaboration with NaCTeM, UK

  • Employer: Novo Nordisk Foundation, Center for Biosustainability, Technical University of Denmark (DTU) in Copenhagen
  • Title: Postdoctoral Researcher
  • Speciality: NLP, neural information extracttion
  • Location: DTU, Copenhagen
  • Deadline: 15th August 2021
  • Date posted: 6th July 2021
  • Contact: Evelyn Travnik [16] and Prof. Sophia Ananiadou [17]

We seek a full-time postdoctoral researcher in NLP, working in the Novo Nordisk Foundation, Center for Biosustainability, Technical University of Denmark (DTU) in Copenhagen. The researcher will join a multi-disciplinary team with diverse specialties in computational biology, data engineering, software development and natural language processing to carry out research and development into a new state-of-the-art informatics platform.

Work carried out will directly support approximately 300 world class scientists in Copenhagen and San Diego in their quest for development of new environment friendly products, better and less energy consuming manufacturing processes, new medical treatments, climate friendly farming, etc.

Tasks will include:

  • Developing new algorithms for relation extraction and summarisation (extractive, abstractive), using (semi)-supervised and unsupervised techniques, transfer learning and distant supervision from the scientific literature
  • Evaluating and improving the performance of NLP models and validate the accuracy of extracted knowledge
  • Working closely with a software engineering team to translate best-performing techniques into production
  • Supporting and leading graduate and undergraduate students, as well as summer interns in NLP

Although the position is located at DTU Biosustain, the NLP research will be mentored by Associate Scientific Director, Prof. Sophia Ananiadou. Sophia is also the Director of the National Centre for Text Mining (NaCTeM), Department of Computer Science at The University of Manchester, UK. The successful candidates will benefit from the vibrant research environments of both DTU Biosustain and NaCTeM.

  • Contract Duration: Fixed term until 31st December 2023

For further information and to apply, please visit: https://www.biosustain.dtu.dk/about/job/job?id=d0edfb0f-376b-4e2a-a1da-d8fb7ed37a9b


Staff AI Research Scientist at Element AI, a ServiceNow Company

  • Employer: ServiceNow
  • Title: Staff AI Research Scientist (IC4)
  • Specialty: Natural Language Processing, Low-Data Learning, Large Language Models
  • Location: Montreal or Toronto, Canada (possibility of remote work)
  • Deadline: When the job posting is no longer live
  • Date posted: June 29th, 2021
  • Contact for more info: David.Vazquez@servicenow.com
  • Job posting and how to apply

Do you want to further your research efforts in a dynamic team with a proven track record of publications? Element AI, a ServiceNow company is the AI research arm of ServiceNow, a major (and still growing!) player in the enterprise software business. We are a trusted partner for developing innovations of all kinds that help people organize better. We make the world of work, work better for people.

We are currently looking to hire somebody doing research in natural language processing to collaborate within the Low-Data Learning team. Come work with us if you are ready to lead your own research initiatives surrounded by like-minded people in a group that truly understands and want to tackle the challenges of publishing in the field of AI.

Follow the link of the job posting for more details.

Research Associate position in NLP, National Centre for Text Mining, University of Manchester, UK

  • Employer: National Centre for Text Mining, University of Manchester, UK
  • Title: Research Fellow
  • Specialty: Natural Language Processing, Text Mining
  • Location: Manchester, UK
  • Deadline: July 6, 2021
  • Date posted: June 23, 2021
  • Contact: Sophia.ananiadou@manchester.ac.uk

The University of Manchester invites applications for one Research Associate in Natural Language Processing/Text Mining to undertake research in the area of natural language processing with emphasis on fact checking and verification for health applications. The post is available immediately and will be tenable on a fixed term basis until 31st July 2022. The candidate will be hosted at the National Centre for Text Mining (http://www.nactem.ac.uk), School of Computer Science, located at the Manchester Institute of Biotechnology (http://www.mib.ac.uk).

You will join the National Centre for Text Mining, a leading centre in text mining. You should have a PhD or about to complete a PhD or equivalent experience in Computer Science with an emphasis on Natural Language Processing, good knowledge of graph-based NLP, excellent programming skills to allow implementation of new NLP algorithms and a track record of publications in conferences and journals.

The School is committed to promoting equality and diversity, including the Athena SWAN charter for promoting women’s careers in STEMM subjects (science, technology, engineering, mathematics and medicine) in higher education. The School holds a Bronze Award for their commitment to the representation of women in the workplace and we particularly welcome applications from women for this post. All appointments will be made on merit. For further information, please visit: http://www.manchester.ac.uk/connect/jobs/equality-diversity/awards/athena-swan/.

Blended working arrangements may be considered.

  • Salary: £32,816 to £34,804 per annum according to relevant experience
  • Employment type: Fixed Term
  • Hours per week: Full time
  • Contract Duration: starting as soon as possible until 31 July 2022

For further details and to apply, please visit: https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=20395.

Postdoctoral Researcher in NLP, University of Southampton, United Kingdom

  • Employer: University of Southampton
  • Title: Research Fellow in Natural Language Processing
  • Specialty: NLP
  • Location: Southampton, United Kingdom
  • Deadline: 21st July 2021
  • Date posted: 18th June 2021
  • Duration: 24 months
  • Contact: Stuart Middleton sem03@soton.ac.uk

Role

You will join our team working on deep learning-based Natural Language Processing (NLP) models for data rescue as part of the GloSAT (Global Surface Air Temperature) research project. The post will be in the Agents, Interaction and Complexity (AIC) group, which is part of the department of Electronics and Computer Science (ECS) at the University of Southampton. The AIC group leads a number of nationally important research centres including the Trustworthy Autonomous System Research Hub (tas.ac.uk) and the UKRI MINDS Centre for Doctoral Training (mindscdt.ai).

The GloSAT project (www.glosat.org) is addressing uncertainties of climate change models using a combination of data rescue from historical documents to improve climate measurement data records, and improved climate change models making use of these improved records. An important aspect of data rescue is information extraction from typed and handwritten historical ship and land measurement station logbooks.

Your role will be to develop deep learning-based NLP models which can operate alongside a major citizen science site (rainfallrescue.org). You will explore novel NLP models for information extraction of tabular measurement data and semantic labels from a large text corpus originating from a GloSAT pipeline of table structure and optical character recognition tools. The GloSAT project has access to 100,000's of manually annotated data tables from the rainfall rescue citizen science site. You will explore how NLP models can be pre-trained using this corpus and then iteratively fine-tuned using human-in-the-loop active learning and/or adversarial training using dynamic citizen science annotations.

You will work in the context of a research partnership between the University of Southampton and UK research institutions including the National Oceanography Centre (NOC) and UK Met Office. To be successful you will have a PhD* or equivalent professional qualifications and experience in natural language processing, artificial intelligence or a closely related subject and have experience of information extraction. In addition to research, an important part of the role is to interact with project partners, and to become familiar with the environmental science domain.

Further Details and Application

Details and application forms at: https://jobs.soton.ac.uk/Vacancy.aspx?ref=1395221FP

Postdoc in Neural NLG at Ohio State

  • Employer: The Ohio State University
  • Title: Postdoctoral Scholar
  • Specialty: Computational Linguistics, Natural Language Generation, Discourse and Dialogue
  • Location: Columbus, Ohio, USA
  • Date posted: 29th May, 2021
  • Contact: Michael White (https://u.osu.edu/mwhite)

Please see this post (https://u.osu.edu/white.1240/2021/05/29/looking-for-another-postdoc-to-work-on-coherence-and-correctness-in-neural-nlg/) for details. Applications received by June 15 will receive full consideration.


Postdoctoral Associate, Reading, Eye tracking, and Computational Modeling, University at Albany, State University of New York, USA

  • Employer: University at Albany, SUNY, USA
  • Title: Postdoctoral Associate
  • Specialty: Cognitive Science, Cognitive Psychology, Computational Linguistics, Cognitive Neuroscience, or related field
  • Location: Albany, New York
  • Date posted: 24th May, 2021
  • Contact: Heather Sheridan

The Visual Cognition Lab (https://visualcognitionlab.com/) is hiring a postdoc (2-3 years) with strong quantitative skills to work with Dr. Heather Sheridan at the University at Albany, SUNY, on an NIMH-funded project in collaboration with Columbia University (1R01 MH121449-01A1: Neural Mechanisms of Reading Dysfunction in Schizophrenia). The successful candidate will use computational modeling to study the cognitive and neural mechanisms underlying reading fluency impairments in Schizophrenia, as well as the link between literacy skills and functional outcomes. The candidate will also have the opportunity to combine their modeling work with empirical projects that integrate eye tracking methodology with both neurophysiological (EEG/ERPs) and fMRI-based studies of individual differences during reading. The start date of the position is flexible and could be anytime during the summer or fall of 2021. The position is open until filled (for full consideration, apply by June 1, 2021).

Qualifications

  • A PhD degree received within the past three years
  • Strong quantitative skills, curiosity, creativity, and a desire to learn
  • Prior experience with computer programming (in any language)
  • Applicants must address in their application their ability to work with a culturally diverse population

Duration of the position
Funding is available for 2 to 3 years

Start date: Summer or Fall of 2021

How to Apply: Interested candidates should apply online by uploading their cover letter, CV and the contact information for 3 references.


Postdoctoral Scholar, Language Learning in Children, Carnegie Mellon University, USA

  • Employer: Carnegie Mellon University, USA
  • Title: Postdoctoral Scholar
  • Specialty: Cognitive Science, Computational Linguistics or related field
  • Location: Pittsburgh, PA
  • Date posted: 18th May, 2021
  • Contact: Leila Wehbe

Dr. Anna Fisher (CMU, Psychology Department) and Dr. Leila Wehbe (CMU, Machine Learning Department & Neuroscience Institute) are seeking a post-doctoral scholar to work on a joint project examining how features of linguistic input contribute to the acquisition of semantic knowledge in children. The selected candidate will work in a vibrant and collaborative environment with many opportunities for growth and learning, and will have access to excellent resources at CMU.

Skills & Qualifications

  • PhD in cognitive science, computational linguistics, or related field is required.
  • Experience analyzing linguistic corpora and using computational modeling approaches (e.g., neural networks, distributional modeling in vector spaces, probabilistic approaches) and implementation tools (e.g., PyTorch, Tensorflow) to investigate phenomena in language and cognition are required.
  • Experience and/or coursework in neuroscience, developmental psychology, data science and/or related fields is highly desirable.
  • Experience conducting experimental research with human participants (especially children) is desirable.
  • Record of publishing in the field of NLP/Computational linguistics and/or Cognitive Science is a plus, as is previous experience with grant applications.

Duration of the position
Guaranteed funding is available for one year, with possibility of continuing the position pending satisfactory performance and availability of funding.

Starting date: Summer 2021

How to Apply:Interested individuals should apply online (position # 2016291) by submitting their CV and names of 2 people who can provide references.

Carnegie Mellon University is an Equal Opportunity Employer and we strongly encourage applications from members of underrepresented groups.

Postdoctoral Researcher in Cardiff, UK

  • Employer: Cardiff University, UK
  • Title: Postdoctoral Research Associate
  • Specialty: NLP
  • Location: Cardiff, UK
  • Deadline: 31st May, 2021
  • Date posted: 14th May, 2021
  • Contact: Steven Schockaert

An exciting opportunity has arisen to join the School of Computer Science and Informatics as a Research Associate working on a new project titled ‘Encyclopedic Lexical Representations for Natural Language Processing’. This project is funded by EPSRC and is due to start on 1 August 2021.

The successful candidate will be dedicated to finding creative solutions and have a genuine curiosity and enthusiasm to undertake world-class research in the field of Natural Language Processing. Specifically, the aim of this post will be to learn vector space embeddings that capture fine-grained knowledge about concepts. Different from existing approaches, these representations will explicitly represent the properties of, and relationships between concepts. Vectors in the proposed framework will thus intuitively play the role of facts, about which we can reason in a principled way. You will work closely with Steven Schockaert and Luis Espinosa Anke. You will possess or be near the completion of a PhD in Computer Science or a related area or have relevant industrial experience.

This is a full-time position for a period of three years. To apply, go to the Cardiff University jobs pages and search for vacancy 11424BR.

Description of the project:
The field of Natural Language Processing (NLP) has made unprecedented progress over the last decade, but the extent to which NLP systems “understand” language is still remarkably limited. A key underlying problem is the need for a vast amount of world knowledge. In this project, we focus on conceptual knowledge, and more in particular on:

(i) capturing what properties are associated with a given concept (e.g. lions are dangerous, boats can float); (ii) characterising how different concepts are related (e.g. brooms are used for cleaning, bees produce honey).

Our proposed approach relies on the fact that Wikipedia contains a wealth of such knowledge. Unfortunately, however, important properties and relationships are often not explicitly mentioned in text, especially if they follow straightforwardly from other information for a human reader (e.g. if X is an animal that can fly then X probably has wings). Apart from learning to extract knowledge expressed in text, we thus also have to learn how to reason about conceptual knowledge.

A central question is how conceptual knowledge should be represented and incorporated in language model architectures. Current NLP systems heavily rely on vector representations in which each concept is represented by a single vector. This approach has important theoretical limitations in terms of what knowledge can be captured, and it only allows for shallow forms of reasoning. In contrast, in symbolic AI, conceptual knowledge is typically represented using facts and rules. This enables powerful forms of reasoning, but symbolic representations are harder to learn and to use in neural networks.

The solution we propose relies on a novel hybrid representation framework, which combines the main advantages of vector representations with those of symbolic methods. In particular, we will explicitly represent properties and relationships, as in symbolic frameworks, but these properties and relations will be encoded as vectors. Each concept will thus be associated with several property vectors, while pairs of related concepts will be associated with one or more relation vectors. Our vectors will thus intuitively play the same role that facts play in symbolic frameworks, with associated neural network models then playing the role of rules.

Postdoctoral Researcher in NLP for healthcare, Vrije Universiteit Brussel (VUB) - imec, Belgium

The department of Electronics and Informatics (ETRO) at Vrije Universiteit Brussel (VUB) and imec in Belgium offers a postdoctoral position in NLP and machine learning.

Description of the project:
The successful candidate will work within the frame of a project, funded by the Brussels government, on NLP for healthcare. The project will acquire data from one of the largest hospitals in Brussels (UZ Brussels) and its aim is to perform automated clinical coding and nosocomial outbreak detection. To do so, two important aspects will be investigated: (i) multilingual NLP techniques and (ii) interpretation of NLP models to address tasks such as extreme classification and real-time prediction.

Responsibilities:
• Design and implement innovative algorithms within the aforementioned project,
• Publish the results at top-tier venues in NLP (e.g., ACL) and machine learning (e.g., ICLR), and
• Supervise junior researchers and support in teaching.

Profile and requirements:
• A PhD degree focusing on artificial intelligence, machine learning, and natural language processing or related;
• An excellent academic record with publications in top-tier scientific journals (e.g., TACL) and conference proceedings (e.g., ACL, EMNLP, AAAI);
• Proven programming experience (e.g., Python, C++);
• Fluency in state-of-the-art machine learning frameworks (e.g., Tensorflow, PyTorch);
• Fluency in English and excellent scientific writing and presentation skills;
• Ability and will to support teaching and to (co-)supervise bachelor, master and PhD students.

What we offer:
• A two-year position which upon positive evaluation can be further extended;
• A competitive salary (including holiday allowance) and benefits,
• An international scientific environment driven by excellence in fundamental research,
• Opportunities for travelling to conferences and research visits to international partner research groups (e.g., at Duke University, UCL)

How to apply:
Interested candidates should send: • a detailed curriculum vitae,
• a motivation letter related to the position’s profile,
• electronic copies of three key scientific publications, and
• the names of two potential referees

to the following contact person: Prof. Dr. Nikos Deligiannis via email at ndeligia@etrovub.be by May 09, 2021.

About the team:
The position is within machine learning team at the Department of Electronics and Informatics at Vrije Universiteit Brussel, Belgium. The team is also affiliated with imec, an international R&D and innovation hub in nanoelectronics and digital technologies.


Ph.D. (funded) & Postdoc Positions in Legal NLP / Legal Tech at Technical University of Munich

  • Employer: Department of Informatics at Technical University of Munich
  • Title: Ph.D. Student / Postdoctoral Associate Position
  • Speciality: Legal Natural Language Processing
  • Location: Munich, Germany
  • Deadline: April 30, 2021
  • Date posted: March 31, 2021
  • Contact: Matthias Grabmair (matthias.grabmair@tum.de)

The nascent TUM Legal Tech working group at the Technical University of Munich (TUM) Department of Informatics will be hiring one Ph.D. and one Postdoctoral associate to conduct research and development around the application of methods from artificial intelligence, machine learning, data science, natural language processing (NLP), and knowledge engineering towards solving tasks and problems arising in the practice of law and public administration. The main focus of the positions will be research projects in NLP on legal text with a focus on exploring the use of neural network models towards analytical objectives of interest to legal experts by implementing models and rigorously evaluating them (e.g., training sequence classifiers on specialized corpora and analyzing model predictions quantitatively and qualitatively over experimental iterations). Other activities include broader AI&Law research and teaching.

The initial Ph.D. position employment contract will be for one year and, upon satisfactory evaluation, can be extended through to the completion of the PhD (up to a maximum of four years). The Postdoctorate position's duration will be 18 months from the employment start date.

TUM strives to raise the proportion of women in its workforce and explicitly encourages applications from qualified women. Applications from disabled persons with essentially the same qualifications will be given preference.

Qualifications: Ph.D. Applicants should have an excellent master's degree in a relevant discipline. Postdoc applicants should have a doctorate degree in relevant discipline and strong research record. Suitable academic backgrounds are Computer Science, Computational Linguistics, or related discipline. Applicants should be interested in interdisciplinary work on legal data, have the ability to work fluently with complex domain texts, and be versatile programmers.

To apply: Applicants should submit a one-page statement of purpose explaining their motivation for working at the Legal Tech group and relevant experience statement, a two-page, grade transcripts, and contact information for two references by email (matthias.grabmair@tum.de). Applicants should review the full job posting before submitting their application.

As part of your application, you provide personal data to the TUM. Please view our privacy policy on collecting and processing personal data in the course of the application process pursuant to Art. 13 of the General Data Protection Regulation of the European Union (GDPR) at https://portal.mytum.de/kompass/datenschutz/Bewerbung/ . By submitting your application, you confirm to have read and understood the data protection information provided by TUM.

Postdoctoral Fellow Position in NLP in the Department of Population Health Sciences at Weill Cornell Medicine, New York City

A postdoctoral fellow position is available in Dr. Yifan Peng's laboratory in the Department of Population Health Sciences at Weill Cornell Medicine, starting Fall2021. Our laboratory is primarily interested in developing and applying computational approaches to biomedical text data and medical images. Our research has focused on biomedical text mining (e.g., BlueBERT, NegBio, LitVar), medical image analysis (e.g., NIH Chest X-ray, DeepSeeNet), and their combination (e.g., TieNet). The successful applicant will work on an NIH-funded project. The goal of this research project is to use the radiology-specific ontology, NLP, image analysis, and DL to construct a radiology-specific knowledge graph.

Qualifications: Applicants must have trained with a strong emphasis on text mining. Preference will be given to individuals with expertise in big data/modeling and those with a strong interest in healthcare or life sciences. The position is open to graduating Ph.D. or M.D./Ph.D. students in Computer Science, Bioinformatics, Health informatics, or a related discipline. Current postdoctoral fellows with less than three years of postdoctoral experience are also welcomed.

Appointments are initially for two years. The positions can be extended for one or two additional years at the end of the first year based on performance. Stipends are commensurate with research experience and education.

To apply: Please submit a CV and a one-page research statement to Dr. Yifan Peng (yip4002@med.cornell.edu). Shortlisted candidates will have an online interview.

Cornell University's Weill Cornell Medicine is located in Manhattan, New York, immediately adjacent to the Sloan Kettering Institute and Rockefeller University, and as such offers the exposure to a dynamic and vibrant scientific environment that provides unique and unparalleled research training opportunities, including seminars given by scientific leaders from throughout the world, exposure to diverse research programs, highly sophisticated core facilities, grant writing workshops, career exploration events, and professional development workshops. Weill Cornell Medicine provides subsidized housing for eligible Postdocs.

Weill Cornell Medicine is an equal opportunity employer committed to excellence through diversity and strongly encourages applications from all qualified applicants, including women and minorities.

Additional information can be found at https://phs.weill.cornell.edu/about-us/career-opportunities/postdoctoral-fellow-position-biomedical-or-clinical-nlp


Research Fellow in Machine Learning, Natural Language Processing and Speech Processing, University of Southampton, United Kingdom

  • Employer: University of Southampton
  • Title: Research Fellow in Machine Learning, Natural Language Processing and Speech Processing
  • Specialty: NLP, Machine Learning
  • Location: Southampton, United Kingdom
  • Deadline: 2nd April 2021
  • Date posted: 9th March 2021
  • Contact: Dr Stuart E. Middleton sem03@soton.ac.uk

2x Full Time Fixed Term (2 years)

The roles will be part of the UKRI Trustworthy Autonomous Systems Hub (TAS Hub). The Hub is led by the University of Southampton with partners from the University of Nottingham and King’s College London. TAS Hub is the focal point of the £33m UKRI Trustworthy Autonomous Systems programme (for more details see www.tas.ac.uk)

You will undertake independent research as well as working as part of a team - this will include using approaches or methodologies and techniques appropriate to the type of research, and being responsible for writing up your work in order to contribute to published outcomes. There will be the opportunity to use creativity to identify areas for research, develop research methods and extend your research portfolio.

As the research will need to generalise across more than one application domain (e.g., healthcare, autonomous vehicles, IoT, etc..) this offers the opportunity to collaborate with partners from across the TAS Hub and the wider TAS programme (i.e., the 60+ TAS hub industrial partners and the TAS Nodes) and undertake an industry placements for periods of up to 12 months.

To take advantage of these opportunities you will have a PhD or equivalent professional qualifications and experience in one of the following areas:- Machine Learning, Natural Language processing, and Speech Processing. As work will need to be carried out in a multi-disciplinary setting involving experts and researchers from fields such as healthcare, law, engineering, business, and policy - it is important that you are able to communicate research outputs in a way that is understandable and useful to researchers from diverse disciplines.

The candidates will have experience in Machine Learning (with applications to computer vision, speech or signal processing), Reinforcement Learning, and Natural Language Processing to develop and evaluate a range of autonomous systems for challenging real-world applications. Experience in evaluative methods such as user studies and surveys, and a demonstrable interest in autonomous systems would be a welcome addition.

A strong track record of good publications at international venues (ACL, AAAI, IJCAI, AIJ, JAIR, ICML, ICLR, AAMAS, NeurIPS) is desirable.

The posts are full time fixed term for up to 2 years. The posts are due to start in June or July 2021

Applications for Research Fellow positions will be considered from candidates who are within six months of a relevant PhD qualification. The title of Research Fellow will be applied upon successful completion of the PhD. Prior to the qualification being awarded the title of Senior Research Assistant will be given.

Details and application forms at: link


Associate, Applied AI/ML, JPMorgan Chase & Co., New York, NY / Columbus, OH

  • Employer: JPMorgan Chase & Co., New York, NY / Columbus, OH
  • Title: Associate, Applied AI/ML
  • Specialty: Natural Language Processing, Machine Learning
  • Location: New York, NY or Columbus, OH
  • Deadline: Ongoing
  • Date posted: February 12, 2021
  • Contact: brian.croy@jpmchase.com

We are an intellectually diverse team of economists, statisticians, engineers, and other analytics professionals, focused on quantitative modeling within Chase at JPMorgan Chase & Co. The team answers complex and unique questions, utilizing cutting edge quantitative and computational techniques and leveraging one of the world’s largest repositories of consumer data. We work closely with our partners throughout JPMorgan Chase to assess and execute critical business decisions.

Apply here: https://jpmc.fa.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1001/job/210075689/


Vice President, Applied AI/ML, JPMorgan Chase & Co., New York, NY / Columbus, OH

  • Employer: JPMorgan Chase & Co., New York, NY / Columbus, OH
  • Title: Vice President, Applied AI/ML
  • Specialty: Natural Language Processing, Machine Learning
  • Location: New York, NY or Columbus, OH
  • Deadline: Ongoing
  • Date posted: February 3, 2021
  • Contact: brian.croy@jpmchase.com

We are an intellectually diverse team of economists, statisticians, engineers, and other analytics professionals, focused on quantitative modeling within Chase at JPMorgan Chase & Co. The team answers complex and unique questions, utilizing cutting edge quantitative and computational techniques and leveraging one of the world’s largest repositories of consumer data. We work closely with our partners throughout JPMorgan Chase to assess and execute critical business decisions.

Apply here: https://jpmc.fa.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1001/job/210055497/


Research Fellow position in NLP, National Centre for Text Mining, University of Manchester, UK

  • Employer: National Centre for Text Mining, University of Manchester, UK
  • Title: Research Fellow
  • Specialty: Natural Language Processing, Text Mining
  • Location: Manchester, UK
  • Deadline: February 15, 2021
  • Date posted: February 2, 2021
  • Contact: Sophia.ananiadou@manchester.ac.uk

We invite applications for a postdoctoral Research Fellow in Natural Language Processing, available as soon as possible for 36 months. The Fellow will work on the H2020 EPHOR (https://www.ephor-project.eu), part of the European Human Exposome Network (https://www.humanexposome.eu/). You will develop new algorithms for information extraction, using (semi)-supervised and unsupervised techniques, transfer learning, distant supervision, applied in the area of exposome for a healthy working life. Based at the University of Manchester, Department of Computer Science, you will join a consortium of 19 partners in 12 countries and the research environment of the National Centre for Text Mining. You will be part of an exceptional consortium of exposure, health and data scientists and technology partners with the aim to advance occupational health science in a unique way to reduce the burden of disease.

The School is committed to promoting equality and diversity, including the Athena SWAN charter for promoting women's careers in STEMM subjects (science, technology, engineering, mathematics and medicine) in higher education. The School holds a Bronze Award for their commitment to the representation of women in the workplace and we particularly welcome applications from women for this post. All appointments will be made on merit. For further information, please visit: http://www.manchester.ac.uk/connect/jobs/equality-diversity/awards/athena-swan/.

Blended working arrangements may be considered.

  • Salary: £41,526 to £45,361 per annum according to relevant experience
  • Employment type: Fixed Term
  • Hours per week: Full time
  • Contract Duration: Fixed term from as soon as possible for 36 Months

For further details and to apply, please visit: https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=19657.

PhD Student in Computational Linguistics, Heinrich Heine University, Duesseldorf, Germany

  • Department of Language and Information, Heinrich-Heine-University Duesseldorf, Germany: http://www.isi.hhu.de/
  • Program in Semantics (Lehrstuhl Semantik)
  • Application deadline: March 1, 2021 (for best consideration, later applications may also be considered)
  • Application address: filip@hhu.de (subject line “PhD student application”)

A fully funded PhD position for the duration of 3 years.

Requirements: The successful candidate will have an M.A. or a B.A. degree in linguistics or computational linguistics. Desirable qualifications include one or more of the following areas: semantics and/or pragmatics, experience with computational modelling of linguistic data or empirical research (experimental, corpus-based) into linguistic meaning. Knowledge of German is not required.

Application documents:

  • a short cover letter
  • curriculum vitae
  • copy of an M.A., a B.A., or a comparable degree diploma
  • copies of degree transcripts
  • two representative writings
  • the names and email addresses of at least two potential referees

All the application documents (apart from the letters of recommendation) should be submitted by email in a single PDF file to: filip@hhu.de. Subject line: “PhD student application”.

Contact Information:

  • Prof. Hana Filip
  • filip@hhu.de


Postdoc Fellow in Computational Linguistics, Heinrich Heine University, Duesseldorf, Germany

  • Department of Language and Information, Heinrich-Heine-University Duesseldorf, Germany: http://www.isi.hhu.de/
  • Program in Semantics (Lehrstuhl Semantik)
  • Application deadline: March 1, 2021 (for best consideration, later applications may also be considered)
  • Application address: filip@hhu.de (subject line “Postdoc Computational Linguistics”)

1-year full-time postdoc research position in Computational Linguistics (German salary scale 100% 13 TV-L), to begin April 1, 2021, a later starting date is negotiable. The initial appointment is for 1 year, with a possibility of an extension for up to 3 years.

The successful candidate is expected to conduct research in the domain of computational linguistics, and specifically in the areas that concern natural language meaning, participate in the preparation of grant proposals, as well as to advise students in the area of computational linguistics and related fields. Knowledge of German is not required.

Requirements:

  • Completed Ph.D. degree (or an equivalent degree) in Computational Linguistics by the time of application.
  • Desirable expertise should include one or more of the following: recurrent neural networks for language models, distributional semantic modeling in vector spaces, probabilistic approaches to NLP, experience in experimental methodology.

The application should be submitted electronically in one .pdf file and include

  • a short cover letter
  • a full CV including a complete list of publications
  • a brief statement of research experience and plans (1-2 pages)
  • links to papers, writing samples, or electronic versions thereof
  • the names and email addresses of at least two potential referees

Contact Information:

  • Prof. Hana Filip
  • Email: filip@hhu.de


Assistant Professor in Computational Language Science AI, University of Florida Department of Linguistics

  • Employer: University of Florida, Department of Linguistics
  • Title: Assistant Professor
  • Specialty: Computational Language Science AI
  • Location: Gainesville, FL
  • Deadline: Feb 1, 2021 (for best consideration)
  • Date posted: Jan 17, 2021
  • Start date: Aug 16, 2021
  • Apply here: https://apply.interfolio.com/83028
  • Contact: Dr. Stephanie Wulff [18]

The University of Florida invites applications for a tenure-track appointment in computational language science at the rank of Assistant Professor, effective August 16, 2021. This is a 9-month, tenure accruing position. Applicants are expected to have a Ph.D. in Linguistics, Computer Science, or a closely-related field. Candidates should have an active research agenda studying any aspect of language from a computational perspective. Specializations include but are not limited to Computational Linguistics, Sociolinguistics, Neuro/Psycholinguistics, Corpus Linguistics, Computational Semantics, and/or Language Documentation. UF has recently committed to a university-wide artificial intelligence initiative along with a major super-computing collaboration with NVIDIA (ai.ufl.edu). Thus, we particularly encourage applications from candidates whose research explores artificial intelligence, natural language processing, or computational algorithms, as well as their societal implications. The latter may include issues of equity, bias, accountability, transparency, or inclusivity. The Department of Linguistics seeks to train the next generation of linguists who are comfortable integrating computational approaches into their research in revealing and societally responsible ways. Ability to teach computationally-oriented courses is required. Candidates must hold the Ph.D. by the starting date. The successful candidate will be expected to 1) maintain an active research agenda, 2) pursue external research funding, 3) teach two courses per semester at the undergraduate and/or graduate level, 4) provide service to the department, the university, and the profession, 5) contribute to UF’s Artificial Intelligence initiative to train graduates for an AI-enabled world, and 6) seek collaborations within the department as well as with other units on campus such as the UF Data Science and Information Technology Center, the Center for Big Learning, the UF Informatics Institute, or the McKnight Brain Institute.


Postdoc position on ERC-funded grant Incorporating Demographic Factors into Natural Language Processing Models

  • Employer: Bocconi University, Milan, Italy
  • Title: Postdoctoral Researcher
  • Speciality: NLP, bias, demographic factors
  • Starting date: March 1 2021, or any time thereafter
  • Duration: 2 years, 1 year extension possible
  • Deadline: 8th Febuary 2021
  • Salary: 42k EUR p.a. (median salary Milan: 37k EUR) Applicants from outside Italy may qualify for a researcher taxation scheme
  • Date posted: 8th January 2021
  • Contact: <Dirk Hovy> (website)

The goal of the INTEGRATOR project is to develop novel data sets, theories, and algorithms to incorporate demographic factors into language technology. Successful candidates will work actively on novel directions in NLP, machine learning, and neural networks for representation learning, natural language understanding and generation in various languages, and collaborate closely with Dirk Hovy as well as the MilaNLP lab.

Successful candidates will have to prove:

  • Knowledge of current neural network models and implementation tools for neural networks (e.g. PyTorch, Tensorflow, Keras, etc.)
  • Experience with publications in top-tier venues in the field of NLP/Computational Linguistics.
  • Fluency in spoken and written English. Knowledge of Italian is NOT a requirement.

HOW TO APPLY:

Job ad

The official application must be sent to Faculty and Research Division of Bocconi University (addressing the Rector) via email to <recruiting-adr@unibocconi.it> Candidates should attach publications and a cover letter to their application. Skype interviews will take place during February 2021.


Postdoctoral opportunity in Natural Language Processing at DTU, Copenhagen, Denmark, in collaboration with NaCTeM, UK

  • Employer: Novo Nordisk Foundation, Center for Biosustainability, Technical University of Denmark (DTU) in Copenhagen
  • Title: Postdoctoral Researcher
  • Speciality: NLP, neural information extracttion
  • Location: DTU, Copenhagen
  • Deadline: 8th January 2021
  • Date posted: 20th December 2020
  • Contact: Evelyn Travnik [19] and Prof. Sophia Ananiadou [20]

We seek a full-time postdoctoral researcher in NLP, working in the Novo Nordisk Foundation, Center for Biosustainability, Technical University of Denmark (DTU) in Copenhagen. The researcher will join a multi-disciplinary team with diverse specialties in computational biology, data engineering, software development, and natural language processing to further research and development into a new state-of-the-art informatics platform.

The key responsibilities of the researcher include development and evaluation of neural information extraction methods applied to biosciences; supporting knowledge enrichment of analysis results via natural language generation; working closely with a software engineering team to translate best-performing NLP techniques into production and co-supervision of students in NLP.

Although the position is located at DTU Biosustain, the NLP research will be supervised by Prof. S. Ananiadou, National Centre for Text Mining (NaCTeM), The University of Manchester, UK. For further information about the project, skills, and further particulars, please visit https://tinyurl.com/y6wrgmsl


NLP Research Internship at Adobe Research, remote (US, UK, Australia, Canada, France, Germany, India, Japan, Romania, South Korea, Spain, and Switzerland)

  • Employer: Adobe Research
  • Title: Research Scientist Intern
  • Speciality: NLP, search, dialog, joint NLP+computer vision
  • Location: For 2021, all internships will be remote and available in the following countries only: US, UK, Australia, Canada, France, Germany, India, Japan, Romania, South Korea, Spain, and Switzerland (interns will be advised by Adobe researchers based in the US).
  • Deadline: Applications will be accepted until all positions are filled.
  • Date posted: November 17, 2020
  • Contact: Franck Dernoncourt <franck.dernoncourt@adobe.com> (Google Scholar)

We are looking for PhD students with background in NLP, search, dialog, or joint NLP+computer vision for a spring/summer/autumn, ~13-week research internship (starting date and length are flexible). We strongly encourage our interns to publish their work to NLP/ML conferences/journals, and as a result we prefer candidates with a strong publication record. International PhD students are welcome to apply. Highly competitive salary.

To apply, please send me an email with your CV (e.g., PDF or LinkedIn) as well as the list of your publications (e.g., PDF or link to your Google Scholar profile). You can view our NLP publications on https://research.adobe.com/publications/?a=natural-language-processing&y We published over 10 papers at EMNLP 2020 and findings of EMNLP 2020.


Postdoctoral position @ MPI Leipzig, DE

  • Employer: Research Group Language Cycles, Max Planck Institute for Human Cognitive and Brain Sciences
  • Title: Postdoctoral Researcher
  • Specialty: Natural Language Processing, Time-Series Analysis
  • Location: Leipzig, DE
  • Deadline: December 31, 2020
  • Date posted: November 12, 2020
  • Contact: lmeyer@cbs.mpg.de

Our group (www.languagecycles.com) investigates how periodic electrophysiological activity of the human brain constrains our ability to understand language—and how this may have shaped human languages cross-linguistically. We link behavioral psycholinguistics, experimental neurolinguistics, and corpus linguistics.

The host institution is equipped with a system of compute servers and clusters, as well as access to the central high-performance computing facilities of the Max Planck Society. a 306-channel MEG system, several EEG systems, TMS, tDCS, two 3-T MRI scanners, a 7.0-T MRI scanner, and a SIEMENS Skyra Connectom high-field MRI scanner as available for neuroscientific research.

The successful candidate will investigate the relationship between spectral and temporal properties of human electrophysiology and statistical properties of human languages. To this end, the candidate shall devise innovative ways to link classical natural language processing (e.g., parsing, chunking) with time-series analysis (e.g., autocorrelation, Fourier analysis). The researcher is also expected to actively participate in the supervision of the group’s students. The position also encourages collaborative research within the Institute’s broad research portfolio (i.e., four departments as well as a line of junior research groups).

Applicants must hold a doctoral degree in computational linguistics, linguistic typology, data science, or an adjacent field. Prior international publications in renowned journals are desired. We expect profound experience with annotated linguistic corpora, natural language processing, information theory, and artificial intelligence (e.g. machine learning). The ideal candidate will be versed in time– and frequency-domain time-series analysis and be fluent in Python™, MATLAB® and R.

The start date of the position should be no later than 1st March 2021. The duration of the post is 2 years, with the possibility of an extension for up to three years. Remuneration is based on the pay scale of the Max Planck Society.

The Max Planck Society is committed to increasing the number of individuals with disabilities in its workforce and therefore encourages applications from such qualified individuals. International applicants are strongly encouraged to apply.

To apply, please submit a cover letter, your curriculum vitae, a motivational statement referring to all aspects of this call, contact information of two referees, academic certificates, and three prior publications that illustrate suitability. Please apply online via http://www.cbs.mpg.de/vacancies/open-positions (subject heading: “PD 9/20).

One Postdoctoral Research position at the University of Colorado at Boulder

  • Employer: Institute for Cognitive Science, University of Colorado at Boulder
  • Title: Research Associate
  • Specialty: Natural Language Processing
  • Location: Boulder, CO, USA
  • Deadline: December 1, 2020
  • Date posted: November 11, 2020
  • Contact: [mailto: Katharina Kann, <katharina.kann@colorado.edu>

The University of Colorado Boulder encourages applicants for a postdoctoral researcher position on natural language processing (NLP) technologies for AI-augmented learning. You will work with the natural language understanding and dialog management subgroups of the newly established AI Research Institute for Student-AI Teaming, a 5-year, $20 million research collaboration.

The University of Colorado Boulder is committed to building a culturally diverse community of faculty, staff, and students dedicated to contributing to an inclusive campus environment. We are an Equal Opportunity employer, including veterans and individuals with disabilities.

The goal of the AI institute is to reframe the role of Artificial Intelligence in education, moving towards a future where AI is viewed as a social, collaborative partner that helps students work and learn more effectively, engagingly, and equitably, while helping educators focus on what they do best: inspiring and teaching students. The Institute will develop, deploy, and study AI Partners that interact naturally with students and teachers through speech, gesture, gaze, and facial expression in real-world classrooms and remote learning settings. The AI Partners will observe, participate in, and support small groups of students to engage in deep and sustained learning conversations while assisting teachers in orchestrating effective learning experiences at the individual, small group, and whole-class levels.

The successful applicant will develop machine learning algorithms for natural language understanding and dialog management.

The candidate will be supervised by Katharina Kann and Alessandro Roncone. The position offers unique postdoctoral training experience and publishing opportunities within multi-department and multi-institution grant-funded projects. The postdoc will be encouraged to develop advanced technical skills, strengthen their research portfolios via peer-reviewed publications, gain interdisciplinary experience by working with a diverse team, and develop leadership skills by mentoring students.

1-5 year position. The initial contract is for one year (providing renewal after a 6-month probationary period). For each consecutive year, the extension of the contract is based on performance.

The start date is negotiable but anticipated for early 2021.

Job Application site: https://jobs.colorado.edu/jobs/JobDetail/Research-Associate/27241

Two Research Associate positions in NLP, National Centre for Text Mining, University of Manchester, UK

  • Employer: National Centre for Text Mining, University of Manchester, UK
  • Title: Research Associate
  • Specialty: Natural Language Processing
  • Location: Manchester, UK
  • Deadline: October 29, 2020
  • Date posted: September 29, 2020
  • Contact: Sophia.ananiadou@manchester.ac.uk

The University of Manchester invites applications for two postdoctoral Research Associates in NLP. The posts are available immediately until the end of July 2022. The posts aim to conduct fundamental research in neural NLP (information extraction and summarisation) and they will be hosted at the National Centre for Text Mining (http://www.nactem.ac.uk) located at the Manchester Institute of Biotechnology (http://www.mib.ac.uk).

You will join the National Centre for Text Mining (NaCTeM), a leading centre in text mining led by Professor Sophia Ananiadou. You should have a strong background in neural Natural Language Processing and excellent programming skills.

SALARY - £32,816 to £40,322 per annum, depending on relevant experience CLOSING DATE - 29/10/2020 FURTHER DETAILS AND APPLICATION FORM - https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=19112

Teaching and Research Position in Computational Linguistics at the University of Tübingen, Germany

  • Employer: Division of General and Computational Linguistics, University of Tübingen, Germany
  • Title: Research Scientist (Wissenschaftlicher Mitarbeiter)
  • Specialty: Data-driven approaches to computational linguistics, Computational semantics; Computational lexicography
  • Location: Tübingen, Germany
  • Deadline: October 15, 2020
  • Date posted: September 16, 2020
  • Contact: acl-jobs@sfs.uni-tuebingen.de

The Division of General and Computational Linguistics in the Department of Linguistics at the University of Tübingen, Germany is searching for a Computational Linguist whose research experience complements existing strengths in the department. While computational linguists working in any subarea of the field are encouraged to apply, preference will be given to candidates who specialize in one or more of the following areas:

  • data-driven approaches to computational linguistics (esp. machine learning);
  • computational semantics;
  • computational lexicography

Knowledge of German is highly desirable. Duties for this post include teaching (with English as the language of instruction), independent research and participation in externally-funded, on-going research projects. Further information about the department can be found at https://uni-tuebingen.de/en/133894

The starting date for the position is November 1, 2020. The initial period of appointment is for two years, with the possibility of renewal for another two-year term.

The position is at the rank of "Wissenschaftlicher Mitarbeiter" (qualification: Ph.D. preferred; M.Sc., M.A. or equivalent required). Salary will be according to the German Salary System TV-L 13, 100%.

Applications should include CV, an outline of research experience/interests, as well as contact data of at least two references.

Applications should be sent by October 15, 2020 to:

acl-jobs@sfs.uni-tuebingen.de

The University of Tübingen wishes to increase the proportion of women in research and teaching, and encourages qualified female researchers to apply. Individuals with disabilities are also strongly encouraged to apply and will be given preferential consideration when their qualifications are equivalent to those of other applicants.

Industry-related Postdoc in Natural Language Processing at the Media Technology Center of ETH Zurich

  • Employer: Media Technology Center, ETH Zurich, Switzerland
  • Title: Postdoctoral Researcher
  • Specialty: NLP, Machine Translation
  • Location: Zurich, Switzerland
  • Deadline: applications currently accepted and reviewed on a rolling basis
  • Date posted: August 27, 2020
  • Contact: Mr. Severin Klingler

The ETH Media Technology Center is a place where you will work at the intersection of research and industry applications. Together with our industry partners, we are building the media technologies of tomorrow. To achieve this, the center provides a platform to work on technological innovations at the intersection of media technology, digital journalism, and design. To join our interdisciplinary team, we offer a position as a Postdoctoral Researcher in Natural Language Processing.

Project background

Together with our industry partner, we are currently exploring how we can make recent advances in NLP accessible to the Swiss media. Most models in natural language processing (NLP) show the best performance for English since, traditionally, research questions are addressed first for English texts. Besides, most available data sets are in English. This has led to a considerable performance gap between NLP methods for English and other languages. The media landscape of Switzerland offers a unique opportunity to advance the state-of-the-art in multilingual NLP research: Despite its small size, Switzerland has four official national languages and a variety of strong dialects that are used in written and oral communication.

Job descritpion

You will be responsible for 1-2 applied research projects with a clear focus on the potential impact for our industry partners. You will be developing new algorithms and systems as well as adapting the state-of-the-art to the specific challenges of our partners. In dialogue with our industry partners, you will develop novel methods that have a direct impact on the (Swiss) media industry. For this, you will be working closely together with research engineers that will implement your research into software prototypes. Many of the projects at the center are interdisciplinary and lie at the intersection of machine learning, computer vision, and natural language processing. You will be working on projects such as multilingual text summarization for news articles or automatic post-editing of machine-translated text to adapt it for journalistic purposes. Projects have clear deliverables and milestones and are decided upon by the media technology center's steering committee.

Your profile

  • Must hold Ph.D. in computer science or related fields (e.g., electrical engineering, computational science)
  • Proven track record in natural language processing (publications in conference venues such as ACL, EMNLP, NeurIPS, ICML, ICLR)
  • Interest in working on applied research projects at the intersection between academia and industry.
  • Proficiency in written and verbal communication in English.
  • Speaking one of the national languages of Switzerland is a plus: German, French, Italian, Romansh.


Interested?

  • Apply online on ETH Jobs portal: https://jobs.ethz.ch/job/view/JOPG_ethz_EgH7KpIva0HtUxknz7
  • A complete application includes:
    • a Cover letter: a short (one page or less) statement of your research interests and your motivation for joining the center
    • CV and publication list
    • University degree(s)
  • Applications will be reviewed on a rolling basis
  • Further information about the Media Technology Center can be found on our website, mtc.ethz.ch. For more information about the position, contact Dr. Severin Klingler by e-mail severin.klingler@inf.ethz.ch (no applications).

Open-Rank (Asst/Assoc/Full) Research Scientist in Machine Learning and Natural Language Processing, Global Security Initiative, Arizona State University

  • Employer: Global Security Initiative, Arizona State University
  • Title: (Asst/Assoc/Full) Research Scientist
  • Specialty: NLP, Machine Learning, Text Mining
  • Location: Tempe, Arizona, USA
  • Deadline: applications currently accepted and reviewed on a rolling basis; after 31 August 2020 applications accepted into a reserve pool
  • Date posted: May 14, 2020
  • Contact: Ms. Aimee Hill

The Global Security Initiative at Arizona State University is an interdisciplinary hub facilitating research on wicked problems affecting national security. In an effort to develop theories, methods and tools to address the national security risks associated with narrative, disinformation and strategic influence, the GSI seeks to expand its research team with a research scientist well-versed in computational linguistics, data analysis and/or machine learning. Initially, the primary project this position will focus on is an Office of Naval Research funded effort studying adversarial framing in the information environment. The ultimate goal is an automated, unsupervised means of detecting framing and correctly categorizing the instances of framing.

Long-term, the role of the Research Scientist position is to identify research opportunities and pursue research efforts that develop scientific tools to allow analysts and decision-makers to dynamically analyze discourse in mainstream and social media; and also interact with other research teams to integrate these results into analyses of the information environment, including a real-time modeling and also simulation environments.

Essential duties:

  • Conduct independent research under minimal supervision
  • Development of natural language processing functions and tools
  • Build and nurture relationships with relevant government agencies, industry representatives, and philanthropic organizations, as well as across the university

Qualifications:

  • Ph.D. in Computational Linguistics or related field with emphasis on text understanding, natural language semantics, Natural Language Processing concurrent discourse relations, and probabilistic graph models.
  • Experience in performing one or more of the following tasks: narrative identification and analysis; framing analysis; parsing, semantic role labeling, and extraction of semantic triples; event detection in text streams; concept-based text clustering; machine reading and classification
  • Ability to develop data visualization and interpret findings creatively in a variety of formats
  • Demonstrated ability to work closely across an array of interdisciplinary teams and organizations
  • Excellent verbal and written communication skills in English
  • Experience with mentorship and management of graduate students
  • Evidence of ability to secure external research funding and execute projects for mission-oriented sponsors

Application Instructions

  • Apply via Interfolio: https://apply.interfolio.com/76127
  • A complete application includes:
    • a cover letter
    • CV
    • summary of relevant past work (two pages maximum)
    • a one-page statement of potential research interests
    • the names and contact information of three professional references
  • Emailed applications will not be accepted.
  • Applications will be reviewed on a rolling basis; after August 31, 2020, applications will continue to be accepted for a reserve pool. Applications in the reserve pool may then be reviewed in the order in which they were received until the position is filled.

Associate Research Scientist in Machine Learning and Natural Language Processing, UKP Lab, Computer Science Department, TU Darmstadt

The Ubiquitous Knowledge Processing (UKP) Lab at the Department of Computer Science, Technische Universität (TU) Darmstadt, Germany has several openings for an Associate Research Scientist (PostDoc- or PhD-level; for an initial term of two to three years, depending on the project)

We are looking to strengthen our group’s profile in different areas of Machine Learning and Natural Language Processing (NLP). Potential topics include but are not limited to:

  • human-in-the-loop machine learning and interactive NLP,
  • cross-lingual, multi-modal and low-resource NLP,
  • NLP for healthcare related to COVID-19, such as domain-specific question answering, evidence mining, or information verification,
  • NLP to combat misinformation such as fake news or conspiracy theories,
  • conversational AI.

In addition, we welcome applications of individuals interested in research-oriented infrastructure projects. In particular, we perform research and development in:

  • AI-based solutions for peer-reviewing,
  • machine learning for computational lexicography.

UKP Lab is a high-profile research group comprising over thirty team members who work on various aspects of data-driven NLP and machine learning. Their novel applications in various domains extend to mining scientific literature or social media, and AI for Social Good in general.

We are looking for applications from candidates in Computer Science with a specialization in Machine Learning, Natural Language Processing or Text Mining. Prior experience with neural network architectures, reinforcement learning and other relevant areas of NLP and Machine Learning are a plus. Demonstrable engagement in open source projects, strong programming skills and communication skills in English are highly appreciated.

UKP Lab (cf. https://www.informatik.tu-darmstadt.de) provides a highly agile, diverse and supportive research environment. The lab has a wide cooperation network with both leading academic and industrial professionals in NLP and Machine Learning. The Department of Computer Science of the TU Darmstadt is regularly ranked among the top ones in respective rankings of the German universities. Its unique profile around AI (cf. https://www.ai-da.tu-darmstadt.de) and information processing (cf. https://www.informatik.tu-darmstadt.de/aiphes) emphasizes NLP, machine learning and their great potential for the industry and society at large. UKP Lab is committed to cutting-edge research, publishing in top-tier venues, cooperative work style and close interaction of all team members. The selected candidates enjoy diverse opportunities for professional growth, leading to successful faculty careers or exciting industrial employments. Darmstadt is very close to the Frankfurt airport and provides an excellent living environment for incoming staff members.

The position assumes you will be eligible for moving to Darmstadt or a nearby German location by the end of 2020. It is currently not possible to provide remote employment opportunities that would allow you to work from another country.

To apply, please provide a detailed CV, a motivation letter and an outline of previous work or research experience along with the names of up to three referees (if available). Applications from women are particularly encouraged. All other things being equal, candidates with disabilities will be given preference. Please submit your application via the following form by August 15th, 2020: https://public.ukp.informatik.tu-darmstadt.de/ukprecruitment. Applications arriving after the deadline will still be considered until the position is filled.

PhD position at the Norwegian Computing Center

  • Employer: Norwegian Computing Center, Norway
  • Title: PhD Research Fellow
  • Specialty: Dialogue modelling, human-robot interaction
  • Location: Oslo, Norway
  • Deadline: August 16, 2020
  • Date posted: July 9, 2020
  • Contact: Pierre Lison

We offer a fully-funded PhD position at the Norwegian Computing Center (NR) in Oslo, Norway.

The position is associated with the GraphDial project funded by the Research Council of Norway. The goal of GraphDial is to advance the state of the art in dialogue management and human-robot interaction by investigating the use of *graphs* to represent the dialogue state. The project brings together researchers from the field of spoken dialogue systems, statistical relational learning, graph neural networks and human–robot interaction. Don't miss this opportunity if you are interested in conversational AI!

The position is fully-funded, with a fellowship period of 3 years. The candidate will be employed at the Norwegian Computing Center, but will be simultaneously affiliated to the PhD programme of the Department of Informatics at the University of Oslo, where the final PhD degree will be awarded.

We offer: a competitive salary combined with attractive welfare benefits and a generous pension agreement, in addition to Oslo’s family-friendly environment with its rich opportunities for culture and outdoor activities.

Requirements: Applicants must hold a Master’s degree or equivalent in NLP or Artificial Intelligence or in Computer Science with a specialization in NLP/AI, with minimum grade B (ECTS grading scale) or equivalent. Fluent oral and written communication skills in English are required.

To know more about the position, see [21].

Application deadline: August 16.

Feel free to contact us for any questions regarding this position.

PhD position at the University of Oslo

  • Employer: University of Oslo, Norway
  • Title: PhD Research Fellow
  • Specialty: Natural Language Processing, Data Privacy
  • Location: Oslo, Norway
  • Deadline: August 15, 2020
  • Date posted: June 25, 2020
  • Contact: Pierre Lison

We have one fully-funded PhD position at the Language Technology Group, University of Oslo. The position is funded by the CLEANUP project funded by the Research Council of Norway.

CLEANUP is an exciting research project at the intersection of natural language processing and data privacy and aims to develop a range of new machine learning methods to automatically anonymise (or at least strongly de-identify) text documents such as electronic patient records, court rulings or chat-based interactions with customers.

The project brings together researchers from machine learning, natural language processing, computational privacy, statistical modelling, health informatics and IT law. In addition, partners from the Norwegian public and private sector (covering the fields of healthcare, welfare, banking, insurance and legal publishing) will contribute to the project with their data and domain knowledge.

The position is located within the Language Technology Group (LTG) at the Department of Informatics, University of Oslo. LTG conducts research on a range of NLP topics like semantic parsing, distributional semantics, sentiment analysis, clinical NLP, and more. While the research profile of the group is heavily machine-learning oriented, our projects typically combines data-driven approaches with an interest for linguistic analysis and insight. The group has access to excellent HPC infrastructure.

We offer: a competitive salary combined with attractive welfare benefits and a generous pension agreement, in addition to Oslo’s family-friendly environment with its rich opportunities for culture and outdoor activities.

Requirements: Applicants must hold a Master’s degree or equivalent in NLP or in Computer Science with a specialization in NLP, with minimum grade B (ECTS grading scale) or equivalent. Fluent oral and written communication skills in English are required. Working knowledge of Norwegian is also recommended, as the project will mainly work on Norwegian documents. Candidates that do not currently speak Norwegian or a related Scandinavian language can nevertheless apply if they are willing to learn Norwegian promptly upon arrival in Norway.

The full advert for the PhD position can be found at: [22]

Feel free to contact us for any questions regarding this position.


PostDoctoral Position at the University of Alberta

  • Employer: University of Alberta, Edmonton, Alberta, Canada
  • Title: Postdoctoral Fellow Position
  • Specialty: NLP, Language modeling, language acquisition, multilingualism, deep learning
  • Location: Edmonton, AB, Canada
  • Deadline: July 30, 2020
  • Date posted: June 22, 2020
  • Contact: Carrie Demmans Epp

The Department of Computing Science at the University of Alberta seeks exceptional candidates for a post-doctoral appointment to be held jointly in the Fyshe and EdTeKLA research groups. The appointment will initially be for a one-year term and will be renewable for an additional year subject to availability of funding and satisfactory performance. The post-doctoral appointee will work on activities related to the computational modeling stream of a large collaborative grant that aims to better understand the language development and literacy.

The person filling this position will work with Alona Fyshe and Carrie Demmans Epp on projects concerning models of the second language acquisition. Research may include:

  • language modeling,
  • deep learning, including training large models using GPUs
  • possible analysis of neuro-imaging data (e.g., fMRI or EEG).

Candidates must have demonstrated expertise in machine learning and natural language processing (NLP). Backgrounds in cognitive psychology, language acquisition, bilingual language, and literacy, among others, are advantageous. We are especially interested in exceptional candidates who transcend traditional disciplinary boundaries and complement our existing strengths. Preference will be given to those who are interested in collaborating on research projects with other members of the grant who have backgrounds in linguistics, psychology, and education.

In addition to English, proficiency in one of the below languages or language families will be considered an asset

  • Algonquin languages (e.g., Cree)
  • Arabic
  • Chinese
  • Farsi
  • French

The Department of Computing Science is home to nearly 50 tenured and tenure-track faculty members and over 200 graduate students in its PhD and thesis-based MSc programs. Its faculty members have ties to the Faculty of Education and they participate in national and international research networks as well as cross-discipline institutes within the university.

The University of Alberta ranks consistently within Canada’s five best medical/doctoral universities. Over 31,000 undergraduate students, 7,600 graduate students, and 600 postdoctoral fellows are part of the university’s exceptional learning and research environment. Edmonton (http://www.edmonton.ca), Alberta’s capital, offers a rich array of cultural, professional, sports, and entrepreneurial activities, with easy access to Canada’s Rocky Mountains, and its public elementary and secondary schools provide high-quality education.

Edmonton is also home to The Alberta Machine Intelligence Institute (amii), which is part of the CIFAR $125M Pan-Canadian AI Strategy. Amii has attracted an extremely strong cohort of professors, post-docs and graduate students, and enhanced what was already a very strong machine learning community in Edmonton. Successful candidates will become members of amii, and will be able to take advantage of amii events and resources.

Please submit a cover letter, CV, one-page research statement, and 2-5 references to Carrie Demmans Epp. We are looking for someone to start as soon as possible. The review of applications will begin on June 22 and will continue until a suitable candidate is found; in order to ensure full consideration, applications must be completed by July 30.

The University of Alberta is committed to an equitable, diverse, and an inclusive workforce. We welcome applications from all qualified persons. We encourage women; First Nations, Métis and Inuit persons; members of visible minority groups; persons with disabilities; persons of any sexual orientation or gender identity and expression; and all those who may contribute to the further diversification of ideas and the University to apply.


Summer internship in language technology, Austrian Research Institute for Artificial Intelligence, Vienna

The Language and Interaction Technologies Group of the Austrian Research Institute for Artificial Intelligence (OFAI) in Vienna is seeking a student intern for programming tasks in the field of natural language processing.

The successful applicant will be responsible for helping to program the front and back ends of an interactive, graphical tool for computer-assisted translation of creative language. The work will be carried out in close cooperation with the project leader, within the framework of the FWF-funded project Computational Pun-derstanding: https://punderstanding.ofai.at/

The position is a fixed-term one-month contract for 20 hours per week, with the possibility to extend the contract for additional months, subject to project requirements and satisfactory job performance. Remuneration will be in accordance with the standard student assistant salary for FWF projects: https://www.fwf.ac.at/en/research-funding/personnel-costs/

Requirements: Applicants must demonstrate:

  • Good knowledge of English and German
  • Good programming skills in Java (or less preferably in Python)
  • Permission to work in Austria
  • Interest in linguistics, language technology, and/or natural language processing

Previous experience in developing graphical user interfaces is a big plus.

Application procedure: Applications, including a cover letter and a CV detailing previous academic work and programming experience, should be submitted via e-mail to Tristan Miller: tristan.miller@ofai.at

Applications should be submitted by 15 June 2020. Applications received after this deadline will be considered if the position remains unfilled.


Multiple PhD positions in deep learning for natural language understanding at Idiap, Switzerland

  • Employer: Idiap Research Institute, Natural Language Understanding group
  • Title: Multiple PhD positions
  • Speciality: Natural Language Understanding, Machine Learning
  • Location: Martigny, Switzerland
  • Deadline: 31 May, 2020
  • Date posted: 8 May, 2020
  • Contact: James Henderson (james.henderson@idiap.ch)

Multiple PhD positions

The Idiap Research Institute seeks qualified candidates for multiple PhD student positions in the area of deep learning methods for natural language understanding, to work with Dr. James Henderson in the Natural Language Understanding group. For more details, please see the announcements here and here.

Idiap offers competitive salaries, a beautiful location, and a world-class AI research community. PhD students are registered at EPFL, Switzerland. Some of these positions are to work on the Swiss center of excellence (NCCR) project: Evolving Language.

The ideal candidate should hold a Master-level degree in computer science, computational linguistics or related fields. She or he should have a background in natural language processing or machine learning, and should have strong programming skills.

All questions related to these positions should be sent to Dr. James Henderson (james.henderson@idiap.ch).

Please apply online either here or here.


Postdoctoral position in deep learning for natural language understanding at Idiap, Switzerland

  • Employer: Idiap Research Institute, Natural Language Understanding group
  • Title: Postdoctoral researcher
  • Speciality: Natural Language Understanding, Machine Learning
  • Location: Martigny, Switzerland
  • Deadline: 31 May, 2020
  • Date posted: 8 May, 2020
  • Contact: James Henderson (james.henderson@idiap.ch)

Postdoctoral position

The Idiap Research Institute seeks qualified candidates for a Postdoctoral researcher position in the area of deep learning methods for natural language understanding, to work with Dr. James Henderson in the Natural Language Understanding group. This position is to work on the Swiss center of excellence (NCCR) project: Evolving Language. For more details, please see the announcement here.

The ideal candidate should hold a PhD degree in computer science, computational linguistics or related fields. She or he should have a background in natural language processing and machine learning, and should have strong programming skills.

All questions related to these positions should be sent to Dr. James Henderson (james.henderson@idiap.ch).

Please apply online here.


Postdoc in NLP, ITU Copenhagen (Denmark)

  • Employer: Department of Computer Science, IT University of Copenhagen, Denmark
  • Specialty: Natural language processing / Machine learning
  • Location: Copenhagen, Denmark
  • Deadline: 12 June 2020, at 23:59 CEST.
  • Contact: Leon Derczynski
  • Date posted: May 1st 2020
  • Start Date: August 1st 2020

The IT University of Copenhagen invites applications for a postdoc position to research cross-domain and cross-language transfer methods for natural language processing. The ClinRead project at ITU Copenhagen, funded by the Novo Nordisk Foundation, needs a full time post-doctoral researcher in natural language processing starting 1 August 2020 latest. The position is funded for 12 months, with possible extension. 100% of the time is allocated to research activities. The project application domain is information extract over patient notes in clinical journals. This provides the scope to do basic research in transfer learning for NLP. More details are here: https://nlp.itu.dk/2019/12/13/clinread-understanding-clinical-notes-for-new-languages-novo-nordisk-foundation-grant-for-leon-derczynski/ The project is led by Dr. Leon Strømberg-Derczynski, who is an Assistant Professor in Computer Science at ITU.

Candidate

  • You must either: (a) hold a PhD in a discipline related to natural language processing; or (b) have an expected PhD award date (with evidence) before 31 January 2021, with all PhD documents submitted before 31 October 2020.
  • You need to have published academic publications in natural language processing.
  • Excellent written and spoken English language skills are required.
  • Applications from both industry and academia are welcome.
  • The project works with Danish data, so excellent proficiency in Danish is beneficial.

Working in Copenhagen Copenhagen has a strong educational system, a rich cultural life, universal healthcare, good childcare, and well-functioning infrastructure. Living and working in Copenhagen will be a good experience for you and your family.

General information The IT University of Copenhagen is a teaching and research university concerned with information technology (IT) and the opportunities it offers. The IT University has more than 160 full-time academics. Research and teaching in information technology spans all academic activities which involve computers including computer science, information and media sciences, humanities and social sciences, business impact and the commercialization of IT. Questions about the positions can be directed to Assistant Professor, Leon Strømberg-Derczynski, IT University of Copenhagen, leod@itu.dk.

Salary Appointment and salary will be in accordance with the Ministry of Finance’s agreement with the Danish Confederation of Professional Associations (AC).

Application procedure You can only apply for this position through our e-recruitment system. Apply by pushing the button "Apply for position" in the job announcement on our website: http://en.itu.dk/About-ITU/Vacancies. The IT University uses tests in connection with the recruitment process.

  • Application deadline: 12 June 2020, at 23:59 CEST.

The IT University invites all qualified researchers regardless of age, gender, religious affiliation or ethnic background to apply for the positions.

Apply here: [23]

Postdoctoral Researcher, University of Memphis (USA)

  • Employer: Institute for Intelligent Systems, University of Memphis, USA
  • Specialty: Cognitive Science with an emphasis on language, learning, and/or AI
  • Location: Memphis, TN USA
  • Deadline: open until filled
  • Contact: Andrew Olney
  • Date posted: March 5th 2020
  • Start Date: May 1st 2020

The Institute for Intelligent Systems at The University of Memphis invites applications for a postdoctoral researcher. The 12-month position will start in May 2020 pending the availability of funds. Candidates must have a Ph.D. in hand by May 2020 and must have a compelling record of research success and potential.

The successful candidate will complement interdisciplinary research at the IIS in one or more of the following focus areas: learning, language, and artificial intelligence. Candidates are encouraged to work on their own research agenda but may join existing projects. Mentoring will be provided based on research focus. Candidates from minority and underrepresented groups are highly encouraged to apply. Salary is competitive and commensurate with qualifications and experience.

Please submit a letter detailing current research interests, a curriculum vitae, three representative publications, and email addresses for three professional references on-line at https://workforum.memphis.edu. For all other inquiries please contact Andrew Olney, aolney@memphis.edu. Review of applications will begin on March 1, 2020.

A background check will be required for employment. The University of Memphis is an Equal Opportunity/Equal Access/Affirmative Action employer committed to achieving a diverse workforce.

Two Research Fellows in Natural Language Processing, Artificial Intelligence Research Centre, Japan

  • Employer: Artificial Intelligence Research Centre, Japan and the National Centre for Text Mining, UK
  • Specialty: Natural Language Processing, Information Extraction, Knowledge Discovery
  • Location: Tokyo, Japan
  • Deadline: 31st March 2020
  • Contact: Sophia Ananiadou
  • Date posted: March 4th 2020
  • Start Date: ASAP

The Artificial Intelligence Research Centre, Japan and the National Centre for Text Mining (UK) invite applications for two Research Fellows in Natural Language Processing. This is an exciting opportunity for two ambitious researchers to work on a major interdisciplinary project on Cancer, funded by the Japan Agency for Medical Research and Development. The posts aim to promote novel research into information extraction and knowledge discovery for immunotherapy for cancer mechanisms. The two fellows will work together and will also collaborate with NLP researchers both in Japan and in the UK, as well as with data scientists and medical practitioners in Japan.

Although the posts will be located in AIRC, Japan (https://www.airc.aist.go.jp/en/intro/), the NLP research will be carried out in collaboration with the National Centre for Text Mining (NaCTeM) (http://www.nactem.ac.uk), Department of Computer Science at The University of Manchester. The successful candidates will benefit from the vibrant research environments of both AIRC and NaCTeM.

Essential skills: candidates should have a PhD in Computer Science with an emphasis on Natural Language Processing/Machine Learning. They should have excellent knowledge of neural network architectures for NLP, information extraction (relation and event extraction) at scale, unsupervised learning or distant learning. Good programming skills (Perl, Python or other scripting languages) are highly desirable. Candidates should have a proven publication track record in high quality venues (e.g. ACL, EMNLP, AAAI, NAACL, etc.). Fluency in English is a must. They should have good written skills in English, be able to communicate with the partners of the consortium and work independently to meet deadlines.

Applicants should send a detailed CV, including a list of publications, a covering letter indicating their expertise for this project and the names of three referees, to Professor Sophia Ananiadou (sophia.ananiadou@manchester.ac.uk).

Interviews will be held during the first week of April 2020, with the aim of starting the project as soon as possible.

Salary: ~6M yen to 9M yen per year (£43K to £65K), depending on experience.

Duration of posts: 3 years.

Postdoc in Computational Neurolinguistics, University of Georgia (USA)

  • Employer: Department of Linguistics, University of Georgia, Athens GA USA
  • Specialty: Natural Language Processing, Human Neuroimaging, Cognitive Science
  • Location: Athens, Georgia USA
  • Deadline: open until filled
  • Contact: John Hale
  • Date posted: March 2nd 2020
  • Start Date: August 1st 2020

Duties include using tools and techniques from computational linguistics to analyze neural signals across languages. The successful candidate will work closely with partners in Michigan, at Neurospin, INRIA and the MPI. Apply at https://www.ugajobsearch.com/postings/83958

Postdoctoral Researcher in NLP for healthcare, Vrije Universiteit Brussel (VUB) - imec, Belgium

  • Employer: Electronics and Informatics (ETRO), at Vrije Universiteit Brussel (VUB) - imec, Belgium
  • Title: Postdoctoral Researcher in NLP for healthcare
  • Specialty: NLP, Machine Learning
  • Location: Brussels
  • Deadline: March 29, 2020
  • Date posted: February 25, 2020
  • Contact: ndeligia@etrovub.be

The department of Electronics and Informatics (ETRO) at Vrije Universiteit Brussel (VUB) and imec in Belgium offers a postdoctoral position in NLP and machine learning.

Description of the project:
The successful candidate will work within the frame of a project, funded by the Brussels government, on NLP for healthcare. The project will acquire data from one of the largest hospitals in Brussels (UZ Brussels) and its aim is to perform automated clinical coding and nosocomial outbreak detection. To do so, two important aspects will be investigated: (i) multilingual NLP techniques and (ii) interpretation of NLP models to address tasks such as extreme classification and real-time prediction.

Responsibilities:
• Design and implement innovative algorithms within the aforementioned project,
• Publish the results at top-tier venues in NLP (e.g., ACL) and machine learning (e.g., ICLR), and
• Supervise junior researchers and support in teaching.

Profile and requirements:
• A PhD degree focusing on artificial intelligence, machine learning, and natural language processing or related;
• An excellent academic record with publications in top-tier scientific journals (e.g., TACL) and conference proceedings (e.g., ACL, EMNLP, AAAI);
• Proven programming experience (e.g., Python, C++);
• Fluency in state-of-the-art machine learning frameworks (e.g., Tensorflow, PyTorch);
• Fluency in English and excellent scientific writing and presentation skills;
• Ability and will to support teaching and to (co-)supervise bachelor, master and PhD students.

What we offer:
• A two-year position which upon positive evaluation can be further extended;
• A competitive salary (including holiday allowance) and benefits,
• An international scientific environment driven by excellence in fundamental research,
• Opportunities for travelling to conferences and research visits to international partner research groups (e.g., at Duke University, UCL)

How to apply:
Interested candidates should send: • a detailed curriculum vitae,
• a motivation letter related to the position’s profile,
• electronic copies of three key scientific publications, and
• the names of two potential referees

to the following contact person: Prof. Dr. Nikolaos Deligiannis via email at ndeligia@etrovub.be by March 29, 2020.

About the team:
The position is within Big Data team at the Department of Electronics and Informatics at Vrije Universiteit Brussel, Belgium. The team is also affiliated with imec, an international R&D and innovation hub in nanoelectronics and digital technologies.


Permanent research position in language technology at the Norwegian Computing Center, Oslo, Norway


We have a vacancy for a permanent research position in language technology at the Norwegian Computing Center (NR) in Oslo, Norway. We seek candidates with broad expertise in the field of NLP and the ability to work on different types of R&D projects. The position will be associated with the SAMBA research department, which currently has 45 researchers.

The researcher will be expected to participate in several research projects. In particular, we have recently initiated a large interdisciplinary research project on anonymization of textual data in collaboration with legal scholars, data security experts and researchers in health informatics. We also conduct research on spoken dialogue systems, human-robot interaction, multilingual language resources and information extraction on large amounts of texts. We also work closely with the University of Oslo, and many of our research projects are carried out in collaboration with various research groups in Norway and internationally.

You must be interested in applied research in language technology and machine learning. The applicant must hold a doctorate in language technology or computational linguistics, or a master degree combined several years of research experience. In addition, you must have good programming skills and the ability to work both independently and in teams.

Applicants must be fluent in English, both verbally and in writing. Knowledge of Norwegian or another Scandinavian language is an advantage, as several of our research projects focus on Norwegian text data. Experience in securing funding for R&D projects is also appreciated.

For more information, please visit the application website (in Norwegian).

We offer:
We offer a 100% permanent position, good salary conditions, pension and insurance schemes, flexible working hours, 5 weeks of holiday in addition to paid leave during Christmas and Easter, and our own staff canteen. Good training and development opportunities in an inspiring work environment together with colleagues in language technology, machine learning, statistical modelling and image analysis.

The Norwegian Computing Center is located in Kristen Nygaard's house at the Research Park at Blindern in Oslo. Negotiable starting date. We look forward to hearing from you.

About us:
Norsk Regnesentral (NR) is an independent, non-profit and non-profit private foundation that conducts contract research for business and public enterprises both in Norway and internationally. Our core research areas are statistical modelling, machine learning, artificial intelligence and ICT. Our clients are business and public administration, the EU and the Research Council of Norway.

The institute has 85 employees and is one of Europe's largest research institute within applied statistics. Major applications are petroleum, finance and insurance, earth observation, climate and environment, fisheries and aquaculture, health, image analysis and artificial intelligence. Research in ICT include cybersecurity, smart sensors, e-inclusion and universal design.


PostDoc or PhD in Secure and Robust Natural Language Processing, UKP Lab, Computer Science Department, TU Darmstadt

UKP Lab of the Department of Computer Science, Technische Universität (TU) Darmstadt, Germany has an opening for an

Associate Research Scientist "Secure and Robust NLP" (PostDoc- or PhD-level; for an initial term until the end of 2021)

as part of the National Research Center for Applied Cybersecurity ATHENE [1]. We are part of the research mission "SenPAI-Security and Privacy in AI". While AI becomes more common as a tool for various security applications where data must be analysed, clustered or attributed, the security of the applied AI algorithms is often limited. Various research results in the past years show shortcomings of trained neural nets (NN) like the lack of robustness against targeted attacks. The focus of our contribution to SenPAI is in (i) An automatic penetration testing system for NLP: A modular toolkit with common strategies to attack NLP models. This toolkit allows the wide-spread evaluation of state-of-the-art and in-production NLP systems; and (ii) Robust training objectives for NLP systems: State-of-the-art learning systems are equipped with the automatic attack toolkit in order to generate more robust NLP models. The goal is to have NLP models which are robust against new, unseen attacks and which require a higher effort to bypass them.

For this project, we are looking to hire a PostDoc or a PhD student with both a strong background in Natural Language Processing and a strong interest to contribute to applied security. We plan to cooperate with Fraunhofer SIT in Darmstadt and several other machine learning labs involved in SenPAI. The UKP Lab is a high-profile research group comprising over thirty team members who work on various aspects of data-driven NLP and machine learning. Their novel applications in various domains extend to mining scientific literature or social media, security and AI for Social Good in general.

We ask for applications from candidates in Computer Science with a specialization in Machine Learning, Natural Language Processing or Text Mining and strong interest in secure and robust NLP. Prior experience with neural network architectures, security-related applications and other relevant areas of NLP and Machine Learning is a plus. Demonstrable engagement in open source projects, strong programming skills and communication skills in English are highly appreciated.

UKP Lab (cf. https://www.informatik.tu-darmstadt.de) provides a highly agile, diverse and supportive research environment. The lab has a wide cooperation network with both leading academic and industrial professionals in NLP and Machine Learning. The Department of Computer Science of the TU Darmstadt is regularly ranked among the top ones in respective rankings of the German universities. Its unique profile around AI (cf. https://www.ai-da.tu-darmstadt.de) and information processing (cf. https://www.informatik.tu-darmstadt.de/aiphes) emphasizes NLP, machine learning, and and their great potential for the industry and society at large. UKP Lab is committed to cutting-edge research, publishing in top-tier venues, cooperative work style and close interaction of all team members. The selected candidates enjoy numerous opportunities for professional growth, leading to successful faculty careers or exciting industrial employments.

To apply, please provide a detailed CV, a motivation letter and an outline of previous work or research experience along with the names of up to three referees (if available). Applications from women are particularly encouraged. All other things being equal, candidates with disabilities will be given preference. Please submit your application via the following form by February 10th, 2020: https://public.ukp.informatik.tu-darmstadt.de/ukprecruitment. Applications arriving after the deadline will still be considered until the position is filled.

[1] https://www.athene-center.de/en/


PhD or PostDoc in Natural Language Processing for the Social Good, Computer Science Department, TU Darmstadt

The Department of Computer Science, Technische Universität (TU) Darmstadt, Germany has an opening for an

Associate Research Scientist "NLP for the Social Good" (PhD- or PostDoc-level; for an initial term until the end of 2022)

We are building a research profile in "Content Analytics for the Social Good" in close collaboration with multiple Machine Learning and Data Science labs as well as Social Science labs at the universities of Frankfurt and Mainz. To stregthen this profile, we are looking to hire a PhD student or a PostDoc with both a strong background in Natural Language Processing and a genuine interest to contribute to the Social Good, i.e. conduct research with decidedly positive impact on our society. Examples include privacy-aware NLP and large-scale text analysis to promote and enhance corporate social responsibility, public-policy making, or user empowerment under uncertainty. We specifically envisage cooperations with law and economics researchers and cutting-edge NLP research in low-resource scenarios.

The position is situated in a larger research environment of the UKP Lab as a high-profile research group comprising over thirty team members who work on various aspects of data-driven NLP and machine learning. Their novel applications in various domains extend to mining scientific literature or social media, and AI for Social Good in general. We have recently hired several postdocs to build a focus on NLP for the Social Good. The immediate supervision for the advertised position will be provided by Dr. Ivan Habernal. The strategic long-term advice will be given by Prof. Iryna Gurevych.

We ask for applications from candidates in Computer Science with a specialization in Machine Learning, Natural Language Processing or Text Mining and strong interdisciplinary interest in Computational Social Science. Prior experience with neural network architectures, corpus development and other relevant areas of NLP and Machine Learning is a plus. Demonstrable engagement in open source projects, strong programming skills and communication skills in English are highly appreciated.

UKP Lab (cf. https://www.informatik.tu-darmstadt.de) provides a highly agile, diverse and supportive research environment. The lab has a wide cooperation network with both leading academic and industrial professionals in NLP and Machine Learning. The Department of Computer Science of the TU Darmstadt is regularly ranked among the top ones in respective rankings of the German universities. Its unique profile around AI (cf. https://www.ai-da.tu-darmstadt.de) and information processing (cf. https://www.informatik.tu-darmstadt.de/aiphes) emphasizes NLP, machine learning, and and their great potential for the industry and society at large. UKP Lab is committed to cutting-edge research, publishing in top-tier venues, cooperative work style and close interaction of all team members. The selected candidates enjoy numerous opportunities for professional growth, leading to successful faculty careers or exciting industrial employments.

To apply, please provide a detailed CV, a motivation letter and an outline of previous work or research experience along with the names of up to three referees (if available). Applications from women are particularly encouraged. All other things being equal, candidates with disabilities will be given preference. Please submit your application via the following form by February 10th, 2020: https://public.ukp.informatik.tu-darmstadt.de/ukprecruitment. Applications arriving after the deadline will still be considered until the position is filled.

NLP Research Internship at Adobe Research, San Jose, California

  • Employer: Adobe Research
  • Title: Research Scientist Intern
  • Speciality: NLP, search, dialog, joint NLP+computer vision
  • Location: San Jose, CA, USA
  • Deadline: Applications will be accepted until the position is filled.
  • Date posted: January 7, 2020
  • Contact: Franck Dernoncourt <franck.dernoncourt@adobe.com>

We are looking for PhD students with background in NLP, search, dialog, or joint NLP+computer vision for a spring/summer/autumn, ~13-week research internship (starting date and length are flexible). We strongly encourage our interns to publish their work to NLP/ML conferences/journals, and as a result we prefer candidates with a strong publication record. International PhD students are welcome to apply. Highly competitive salary. To apply, please send me an email with your CV (e.g., PDF or LinkedIn) as well as the list of your publications (e.g., PDF or link to your Google Scholar profile). You can view our NLP publications on https://research.adobe.com/publications/?a=natural-language-processing&y

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