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Dejan Kostic

Top university

Just Landed

3 days ago

Postdoc in Large Language Model Inferencing KTH Royal Institute of Technology in Sweden

Degree Level

Postdoc

Field of study

Computer Science

Funding

18 Million SEK Wallenberg Scholar project; postdoctoral position funded for up to two years.

Deadline

Nov 27, 2026

Country flag

Country

Sweden

University

KTH Royal Institute of Technology

Apply for this position

Keywords

Computer Science
Electrical Engineering
Information Technology
Python Programming
Networking
Gpu Computing
Distributed System
Operating System
Large Language Models

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About this position

This postdoctoral position sits within a 5-year Wallenberg Scholar project on scalable and adaptive inferencing for democratizing AI. The project aims to dramatically reduce the cost and power required to serve large language models such as ChatGPT, and it combines systems research with machine learning ideas to advance practical AI inference.

The work is centered at KTH Royal Institute of Technology and is embedded in a research lab environment where the successful candidate will work with faculty members and several doctoral students. The project involves experimental systems work and is described as part of an ambitious research effort with early publications and a dedicated project page. It offers the chance to contribute to scientific publications and new grant applications while working closely with the academic team.

Research tasks include the design, implementation, and evaluation of distributed systems and networks for machine learning inference. The advert also notes that applying machine learning concepts will be part of the work, with the goal of developing agentic frameworks. This is a strongly technical, systems-oriented role focused on improving how large-scale model inference is built and operated.

The collaboration is with Professor Dejan Kostic and Associate Professor Marco Chiesa, indicating close supervision in a research group that spans systems, networking, and AI infrastructure. The position is described as a first career step after a dissertation and is intended for postdoctoral research within KTH’s international technical university environment.

The broader setting emphasizes KTH’s research and innovation culture, creative working environment, and active role in sustainable societal transition. The advert highlights an international, publication-driven research context with strong collaboration between senior faculty and doctoral researchers.

Funding details

18 Million SEK Wallenberg Scholar project; postdoctoral position funded for up to two years.

What's required

A doctoral degree or an equivalent foreign degree is required and must be completed no later than the employment decision. Applicants should have a solid background in distributed systems, networking, programming and operating systems, very good English skills in speech and writing, very good critical thinking skills, and strong knowledge of C++, Python, Linux, and a scripting language. The post also seeks highly motivated candidates with a willingness to experiment and explore, international publications in journals or top conferences, and preferably a doctorate obtained within the last three years. Preferred qualifications also include teaching ability, awareness of diversity and equal opportunity issues with a focus on gender equality, the ability to collaborate and work independently, and experience with machine learning, GPU programming, or large-scale inference systems.

How to apply

Apply through KTH’s recruitment system via the job ad link. Include a CV, copies of diplomas and grades, translations if needed, and a brief two-page account of your research motivation, academic interests, and future goals. Submit a complete application by the deadline.

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Professors

Professor at KTH Royal Institute of Technology

University Name
Country flag

Sweden

Research Interests

Internet Of Things

Artificial Intelligence

Networking

Distributed System

Large Language Models

Associate Professor at KTH Royal Institute of Technology

University Name
Country flag

Sweden

Research Interests

Artificial Intelligence

Cloud Computing

Distributed System

Computer Science

Information Technology