The Language Technology Group at the Department of Informatics, University of 
Oslo, invites applications for a 3-year PhD research fellowship in Natural 
Language Processing.

The PhD project will focus on variety-aware machine translation in a broad 
sense. While there have been impressive improvements in the field of machine 
translation in recent years, most systems define their source and target 
languages at a relatively coarse level (e.g. “English”, “Norwegian”) and do not 
take into account different types of variation that exist within these language 
denominations: national varieties (e.g. American vs. British English), writing 
forms (e.g. Bokmål vs. Nynorsk), dialects, historical varieties, learner 
language, simple/plain language, as well as different genres and styles.

Applicants have considerable freedom to define their research project within 
the area of variety-aware machine translation. Depending on the chosen 
variation type, different setups can be explored (variation on the source side, 
variation on the target side, or translation between two varieties of the same 
language). The research project should not only produce variety-aware machine 
translation models, but also contribute to the evaluation of such models. The 
application should contain a research proposal that specifies the research 
direction that the applicant wishes to take.

The LTG ( https://www.mn.uio.no/ifi/english/research/groups/ltg/ ) is an 
international and diverse group with a heavily machine-learning oriented 
research profile combined with an interest for linguistic analysis and 
knowledge. The LTG currently participates in the EU-funded HPLT project ( 
https://hplt-project.org/ ), one of whose goals is to provide large datasets 
for training language and translation models. The LTG is also an active member 
of Integreat ( https://www.integreat.no/ ), the Norwegian center of excellence 
for knowledge-driven machine learning. The group has access to excellent 
high-performance computing infrastructure.

The application deadline is 29 February 2024. Further details about the 
position and application requirements can be found here: 
https://www.jobbnorge.no/en/available-jobs/job/257218/phd-research-fellow-in-natural-language-processing

For further information about the position and the application process, please 
contact Associate Professor Yves Scherrer: [email protected] 
<mailto:[email protected]> 

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