Academic Jobs

University of Oslo, Norway - logo

Researcher position in Natural Language Processing – UiO, Norway – Nov 2021

Norway

Apply Before the Deadline

Apply Now

Position as Researcher available at the Department of Informatics, within the Language Technology Group in the Section for Machine Learning, at University of Oslo, Norway. The position is for a period of 12 months.

Support us by Sharing!

ADVERTISEMENT
Scroll Down for Content

General Info

Position: Researcher
No. of Positions: 1
Research Field: ,
Deadline to Apply:
Joining Date: Feb 15, 2022
Contract Period: 1 Year
Salary: 543 000 – 615 800 NOK/Year

Workplace:
Language Technology Group
Section for Machine Learning
University of Oslo, UiO
OSLO,

ADVERTISEMENT
Scroll Down for Content

Qualification Details

The Faculty of Mathematics and Natural Sciences has a strategic ambition of being a leading research faculty. Candidates for these fellowships will be selected in accordance with this, and expected to be in the upper segment of their class with respect to academic credentials.

  • Applicants must hold a degree equivalent to a Norwegian doctoral degree in Natural Language Processing, or in Computer Science with a specialization in NLP. The doctoral dissertation must be submitted for evaluation by the closing date. Only applicants with an approved doctoral thesis and public defense are eligible for appointment.
  • Fluent oral and written communication skills in English

Personal skills

  • Good Python programming skills, including experience with modeling frameworks like PyTorch
  • Previous experience with large-scale neural modeling, including the use of transformer-based language models
  • Previous experience with running experiments in an HPC environment will be an advantage
  • Previous knowledge of Norwegian or some other Scandinavian language will be an advantage (though not a requirement)
  • While broad knowledge of NLP is required, previous experience with sentiment analysis in particular will be an advantage

Responsibilities/Job Description

The position forms part of the SANT project, funded by the Research Council of Norway. The project focuses on structured sentiment analysis, primarily for Norwegian but also other languages including English. The position is located within the Language Technology Group in the Section for Machine Learning.

Based on existing annotated data sets, the main focus of this particular position will be on large-scale experiments with neural modeling of sentiment analysis on several levels of granularity; from document-level polarity to extraction of target expressions and polar expressions.

The work will also involve facilitating down-stream deployment of the models for end-users (via e.g. a Python API, web-demo, etc.). The research group is also co-organizing the SemEval-2022 shared task on structured sentiment, and the research fellow is expected to contribute to this. Both practical Python skills and prior experience with managing large-scale machine learning experiments will be given weight, in addition to broad knowledge of NLP at large.

How to Apply?

Online Application through "Apply Now" Button from this page

Reference Number: -
(If any, use it in the necessary place)

ADVERTISEMENT
Scroll Down for Content

Documents Required

  • Cover letter (statement of motivation, summarizing scientific work and research interest)
  • CV (summarizing education, positions, pedagogical experience, administrative experience and other qualifying activity)
  • Copies of educational certificates, academic transcript of records and letters of recommendation
  • A complete list of publications and up to 5 academic works that the applicant wishes to be considered by the evaluation committee
  • Names and contact details of 2-3 references (name, relation to candidate, e-mail and telephone number)

The application with attachments must be delivered in our electronic recruiting system, please follow the link “apply for this job”. Foreign applicants are advised to attach an explanation of their University's grading system. Please note that all documents should be in English (or a Scandinavian language).

In assessing the applications, special emphasis will be placed on the documented, academic qualifications, as well as the candidates motivation and personal suitability. Interviews with the best qualified candidates will be arranged.

About the Department

The Department of Informatics (IFI) is one of nine departments belonging to the Faculty of Mathematics and Natural Sciences. IFI is Norway’s largest university department for general education and research in Computer Science and related topics.

The Department has more than 1800 students on bachelor level, 600 master students, and over 240 PhDs and postdocs. The overall staff of the Department is close to 370 employees, about 280 of these in full time positions. The full time tenured academic staff is 75, mostly Full/Associate Professors.

About the Employer: University of Oslo, UiO

Note or Other details

According to the Norwegian Freedom of Information Act (Offentleglova) information about the applicant may be included in the public applicant list, also in cases where the applicant has requested non-disclosure.

We offer

  • Salary NOK minimum 543 000 – 615 800 per year depending on qualifications in position as Researcher (position code 1109)
  • Attractive welfare benefits and a generous pension agreement
  • Professionally stimulating working environment
  • Vibrant international academic environment
  • Access to excellent HPC facilities.
  • Oslo’s family-friendly surroundings with their rich opportunities for culture and outdoor activities

ADVERTISEMENT
Scroll Down for Content

Contact details

For further information please contact Professor Erik Velldal (e-mail: erikve@ifi.uio.no) and Professor Lilja Øvrelid (liljao@ifi.uio.no).

For technical questions regarding the recruitment system, please contact HR Adviser Therese Ringvold, e-mail: therese.ringvold@mn.uio.no

Advertisement Details:

Other Vacancies from this field

ADVERTISEMENT
Scroll Down for Content


Support us by Sharing!