Postdoc in AI and machine learning with a focus on large language models

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Ref IDA-2023-00233
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 now looking to appoint a postdoc in the field of AI and machine learning with a focus on large language models.

Work assignments

The primary focus of the postdoc positions is to do research in AI and machine learning with a focus on large language models especially how to make them more trustworthy and factual. The position will be in close cooperation with the EU project TrustLLM coordinated by LiU.

There will be good opportunities to influence the direction of the research. We are always open for suggestions of new important and interesting research directions.

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.

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 machine learning, artificial intelligence, computer science or similar. A successful candidate should have deep and broad knowledge and experience in machine learning and related areas with a proven academic track record. Publications in leading AI/ML conferences such as AAAI, ICML, IJCAI, NeurIPS or similar is expected. Knowledge and experience of NLP and/or large language models is a merit.

Scientific curiosity and the ability to think independently are essential personal qualities in a candidate. You will be expected to engage with colleagues and cooperate in supporting the activities of the research group. You must also have excellent oral and written communication skills in English.

We are looking for enthusiastic people to join our interdisciplinary research group. You should enjoy working as part of a team and be willing to learn from your co-workers and to share your knowledge and experience with them in return. You will also be encouraged to contribute to the training of junior group members and collaborate with other group members on different projects.

Motivate in your personal letter why you are interested in the position and why you are especially qualified for it.

The workplace

You will be employed in the Reasoning and Learning Lab (ReaL), Division of Artificial Intelligence and Integrated Computer Systems (AIICS) at the Department of Computer and Information Science (IDA) at Linköping University. 

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 the programmes in statistics, cognitive science and innovative programming. Read more at https://liu.se/en/organisation/liu/ida

Linköping University is an AI research excellence center with strong and broad research and education in AI both from a technical and interdisciplinary perspective. Coordinator of one of the four EU-funded networks of AI research excellence centers (TAILOR). Host of the largest basic research program in Sweden Wallenberg AI, Autonomous Systems and Software Program (WASP) as well as the Wallenberg AI and Transformative Technologies Education Development Program (WASP-ED). Host of the National Academic Infrastructure for Supercomputing in Sweden (NAISS) including an Nvidia SuperPOD (Berzelius).

The Division of Artificial Intelligence and Integrated Computer Systems is highly regarded internationally for its research in many areas of artificial intelligence with a history dating back to the 70s. The Reasoning and Learning Lab mainly conducts research in the areas of machine learning, machine reasoning and their intersection with applications in, for example, autonomous systems, multi agent systems, and industrial use cases.

The employment

This post is a temporary contract of two years with the possibility of extension up to a total maximum of three years. The position as a postdoc is full-time.

Starting date
By agreement, the sooner the better.

Salary and employment benefits

Salaries at the university are set individually. State your desired salary in the application.

More information about employee benefits is available here.

Union representatives

Information about trade union contacts can be found here.

Application procedure

Apply for this position by clicking on the button labelled “Apply” below. Your application must reach Linköping University no later than October 2, 2023.

Applications received after the deadline will not be considered. 

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

Fredrik Heintz

Professor, Head of division

fredrik.heintz@liu.se

Sandra Malmström

HR-administrator

sandra.malmstrom@liu.se

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