Postdoc in natural language processing

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Ref IDA-2025-00014
We have the power of over 40,000 students and co-workers. Students who provide hope for the future. Co-workers who contribute to Linköping University meeting the challenges of the day. Our fundamental values rest on credibility, trust and security. By having the courage to think freely and innovate, our actions together, large and small, contribute to a better world. We look forward to receiving your application!

We are looking for a postdoc in natural language processing for the project TrustLLM – Democratising trustworthy and efficient large language model technology for Europe. The project is funded by the EU’s Horizon Europe programme, and is coordinated by Linköping University.

Work assignments 

As postdoc, you will principally carry out research. A certain amount of teaching may be part of your duties, up to a maximum of 20% of working hours.

The work will be carried out within the EU-funded project TrustLLM. The main objective for TrustLLM is the development of an open, trustworthy and factual large language model, initially targeting the Germanic languages.

Read more: https://trustllm.eu/about-trustllm/

Within TrustLLM, you will mostly work on modularisation and language adaptation of large language models, as well as tokenization and evaluation benchmarks for multilingual large language models, with a focus on the Germanic languages.

Qualifications

To be qualified to take employment as postdoc, you must have been awarded a doctoral degree or have a foreign degree that is deemed to be equivalent to a doctoral degree.  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. If there are special reasons for having an older doctoral degree – such as taking statutory leave – then these may be taken into consideration.

We are seeking applicants who have a doctoral degree in computer science or a related area of relevance to the project. You must document your ability to conduct qualified research within natural language processing and have published your research in top-tier international journals or conferences. You must also have excellent oral and written communication skills in English.

Scientific curiosity and the ability to think independently are essential personal qualities in a candidate for this position. You will be expected to cooperate with colleagues in the Natural Language Processing Group, the Department of Computer and Information Science, and the TrustLLM partner organisations. You should enjoy working as part of a team and be willing to learn from your co-workers and share your knowledge and experience with them in return. You are expected to contribute to the training of junior group members.

 

The workplace

You will work in the Natural Language Processing Group within the Division for Artificial Intelligence and Integrated Computer Systems (AIICS).  Read more: https://liu-nlp.ai/

The Department of Computer and Information Science was founded in 1983, but its roots go back to the early 1970s. It is one of the largest computer science departments in northern Europe. Our research covers a broad spectrum of fields, from core to applied computer sciences. Its vast scope also benefits our undergraduate and graduate programmes, and we now teach courses in several engineering programmes at Bachelor’s and Master’s levels, as well as programmes in statistics, cognitive science and innovative programming.

Read more: https://liu.se/en/organisation/liu/ida

Linköping University is an AI research excellence centre with strong and broad research and education in AI from a technical and interdisciplinary perspective. LiU is the coordinator of one of the four EU-funded networks of AI research excellence centres (TAILOR) and the host of the largest basic research programme in Sweden (Wallenberg AI, Autonomous Systems and Software Program, WASP) as well as the Wallenberg AI and Transformative Technologies Education Development Program (WASP-ED). LiU also hosts the National Academic Infrastructure for Supercomputing in Sweden (NAISS), which includes an NVIDIA SuperPOD (Berzelius).

The employment

This employment is a temporary contract of two years with the possibility of extension up to a total maximum of three years.

The employment is full-time.

Starting by agreement.

 

Salary and employment benefits

The university applies individual salaries.

More information about employee benefits is available here.

Union representatives

Information about union representatives, see Help for applicants.

Application procedure

Apply for the position by clicking the “Apply” button. Your application must be received no later than February 5, 2025. 
 
Applications and documents received after the date above will not be considered. 
 
Please attach your selected research publications electronically, in pdf or word format, in the application template. Research publications, e.g. monographs, which cannot be sent electronically should be sent in three sets by mail to the University Registrar at Linköping University, University Registrar, S-581 83 Linköping, Sweden. The publications must be received by Linköping University no later than the deadline for application. 

Please note that printed publications will not be returned. They will be archived at Linköping University. 
 
In the event of a discrepancy between the English translation of the job announcement and the Swedish original, the Swedish version shall take precedent. 

We welcome applicants with different backgrounds, experiences and perspectives - diversity enriches our work and helps us grow. Preserving everybody's equal value, rights and opportunities is a natural part of who we are. Read more about our work with: Equal opportunities.

We look forward to receiving your application!


Linköping university has framework agreements and wishes to decline direct contacts from staffing- and recruitment companies as well as vendors of job advertisements.

Contact persons

Marcel Bollmann

Associate Professor

marcel.bollmann@liu.se

Sofie Bondesson

HR-Administrator

sofie.bondesson@liu.se

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