Employment opportunities, postdoctoral positions, summer jobs

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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: 3rd October 2020
  • Date posted: 2nd September 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 30/09/2022.

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

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 [1].

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: [2]

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.

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 Spring 2021. 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. For more details, please see the announcements here.

Qualifications: Applicants must have trained with a strong emphasis on text mining and/or image analysis. 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., M.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.

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: [3]

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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