Postdoc in Natural Language Processing

Profilbillede
dato

BEMÆRK: Ansøgningsfristen er overskredet

Postdoc in Natural Language Processing

Department of Computer Science
Faculty of Science


University of Copenhagen



The Natural Language Processing Section at the Department of Computer Science invites applicants for a Postdoctoral Researcher in Natural Language Processing.



Project Description

The overall goal of the project is to develop a new family of language models that can process any written language by rendering text as images, which allows the models to learn from the visual similarities between written languages. Realizing this goal includes creating and implementing tokenization-free multilingual language models, the collection and curation of visually diverse language data, the training of small-scale and large-scale models, developing techniques for effective model quantization and compression, and creating models that jointly process natural images and rendered text using a single interface.

The position is funded by a VILLUM Young Investigator Grant held by the principal investigator, Desmond Elliott. The project team includes the principal investigator, a postdoctoral researcher, and two Ph.D students, as well as external collaborators.



Our Research

The Natural Language Processing Section provides a strong, international, and diverse environment for research within core as well as emerging topics in natural language processing, natural language understanding, computational linguistics and multimodal language processing. It is housed within the main Science Campus, which is located in central Copenhagen. Further information on the Department is available at https://di.ku.dk/english/.



Job Description

The position is available for 18 months, with a starting position from 01 January 2024, or as soon as possible thereafter. The key tasks of a postdoctoral researcher are:

  • Plan and carry out research with increasing autonomy
  • Collaborate with researchers within the research group, and with external project partners
  • Write scientific articles;
  • Disseminate research nationally and internationally.
The University wishes our staff to reflect the diversity of society and thus welcomes applications from all qualified candidates regardless of personal background.



Formal requirements

Applicants should have or be about to receive a PhD degree in a subject relevant for the research area, and have good written and oral English skills. The assessment of your qualifications will also be made based on previous scientific publications (if any) and relevant work experience.

Inquiries about the position can be made at de@di.ku.dk.



Terms of employment

The position is covered by the Memorandum on Job Structure for Academic Staff. Terms of appointment and payment accord to the agreement between the Ministry of Finance and The Danish Confederation of Professional Associations on Academics in the State.

Negotiation for salary supplement is possible.

The application, in English, must be submitted electronically by clicking APPLY NOW below.



Please include:

  • Cover Letter, detailing your motivation for applying for the position;
  • Curriculum vitae;
  • Brief research overview – description of your current and future research plans;
  • Diplomas (Master and PhD degree or equivalent);
  • Complete publication list;
The deadline for applications is 31 August 2023, 23:59 GMT +2.

After the expiry of the deadline for applications, the authorized recruitment manager selects applicants for assessment on the advice of the Interview Committee.

You can read about the recruitment process at http://employment.ku.dk/faculty/recruitment-process/.

INFORMATIONER OM STILLINGEN:

- Arbejdspladsen ligger i:

Hvidovre Kommune

-Virksomheden tilbyder:

-Arbejdsgiver:

KU - SCIENCE - DATALOGISK INSTITUT - UP1, Universitetsparken 1, 2100 København Ø

-Ansøgning:

Ansøgningsfrist: 03-08-2023; - ansøgningsfristen er overskredet

Ved skriftlig henvendelse: https://candidate.hr-manager.net/ApplicationInit.aspx?cid=1307&ProjectId=159647&DepartmentId=18970&MediaId=4632&SkipAdvertisement=true

Se mere her: https://job.jobnet.dk/CV/FindWork/Details/5872559

Denne artikel er skrevet af Emilie Bjergegaard og data er automatisk hentet fra eksterne kilder, herunder JobNet.
Kilde: JobNet