Employment opportunities, postdoctoral positions, summer jobs

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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

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: 2nd April January 2021
  • Date posted: 12th March 2021
  • Contact: Evelyn Travnik [1] and Prof. Sophia Ananiadou [2]

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.

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 Text Mining Centre (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=7b488eab-b7f8-45fc-bc88-bf1d81f631ba

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 [3]

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 [4] and Prof. Sophia Ananiadou [5]

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.

Postdoctoral Researcher in Natural Language Processing and Information Extraction, University of Southampton, United Kingdom

  • Employer: University of Southampton
  • Title: Research Fellow in Natural Language Processing and Information Extraction
  • Specialty: NLP, Information Extraction
  • Location: Southampton, United Kingdom
  • Deadline: 17th December 2020
  • Date posted: 17th November 2020
  • Contact: Dr Stuart E. Middleton sem03@soton.ac.uk

Project Background

You will join our team working on deep learning-based language models for information extraction and data rescue in 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. Existing initiatives (www.weatherrescue.org) use crowdsourced volunteers to manually enter data tables for thousands of scanned images of measurement log book pages. This approach does not scale to the millions of scanned images of logbook pages waiting to be processed, but it does provide an excellent ground truth for an annotated training corpus.

Role

Your role will be to explore deep learning-based natural language models for information extraction leading to advances in column classification, relation extraction and knowledge-base population of tabular corpora. Identified domain context such as measurement type will be used for abnormality detection to improve the quality of the final measurement records. Tools for automated document layout analysis and optical character recognition have been developed within GloSAT to process millions of scanned images of logbook pages and generate a corpus of spatially annotated textual table components suitable for language modelling.

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+++ 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.

Appointment

The appointment is full time fixed term until 31/01/2023.

The department of Electronics and Computer Science is the leading university department of its kind in the UK, with an international reputation for world-leading research across computer science, electronics, and electrical engineering. Research takes place in a multidisciplinary, collaborative environment and draws on our outstanding facilities. With over 550 researchers from many different subject backgrounds, the research culture in ECS is fast-changing and dynamic. Our internationally renowned teaching and research have been ranked among the highest in the UK.

For informal enquiries before submitting your application, contact Dr Stuart E. Middleton sem03@soton.ac.uk

At the University of Southampton, we value diversity and equality.

+++ Applications for Research Fellow positions will be considered from candidates who are working towards or nearing completion of a relevant PhD qualification.

Further Details and Application

Details and application forms at: https://jobs.soton.ac.uk/Vacancy.aspx?ref=1288620FP-R

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 [6].

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: [7]

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: [8]

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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