Postdoc in Natural Language Processing

We are looking for a postdoc within the EU-funded project TrustLLM – Democratising trustworthy and efficient large language model technology for Europe.

The position is full-time (100%) for a fixed term of two years, with the potential of an extension to a total of three years, and comes without teaching obligation. Starting date is by agreement, but ideally as soon as possible.

Research areas

The main objective of TrustLLM is the development of an open, trustworthy and factual large language model, initially targeting the Germanic languages. The project is funded by the EU’s Horizon Europe programme, and is coordinated by Linköping University. Within TrustLLM, the LiU NLP group works primarily on the following research areas:

Your qualifications

To be qualified to take employment as postdoc, you must have been awarded a doctoral degree (or an equivalent foreign degree) in computer science, natural language processing, or a relevant related area. This degree must have been awarded at the latest by the point at which LiU makes its decision to employ you. It is considered advantageous if your doctoral degree is no older than three years at application deadline for this job.

You should have profound knowledge of and conducted qualified research within the areas of natural language processing, machine learning, and large language models. You have published your research in top-tier international conferences or journals. You must also have excellent oral and written communication skills in English.

We offer

How to apply

The button below will take you to the electronic application form. You will first have to create an account in the University’s recruitment tool.

The application deadline is 2025-02-05.

Apply for this position

More information

If you are interested in applying for this position, do not hesitate to contact Marcel Bollmann for more information and discussion.

The information on this page is an expanded summary of the official announcement (also in Swedish).