KTH Royal Institute of Technology
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Postdoc in Large Language Model Inferencing KTH Royal Institute of Technology in Sweden
Degree Level
Postdoc
Field of study
Computer Science
Funding
Postdoctoral employment for at most two years. The post is a full-time temporary position with monthly salary; no stipend amount is stated. It is part of an 18 Million SEK Wallenberg Scholar project titled "Scalable and adaptive inferencing for democratizing AI".
Deadline
Oct 21, 2026
Country
Sweden
University
KTH Royal Institute of Technology
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About this position
Postdoc in Large Language Model Inferencing at KTH Royal Institute of Technology (Stockholm, Sweden) in the School of Electrical Engineering and Computer Science.
This postdoctoral opening is part of an ambitious 5-year Wallenberg Scholar project, Scalable and adaptive inferencing for democratizing AI, focused on dramatically reducing the cost and power required to serve large language models such as ChatGPT. The research combines distributed systems, computer networks, machine learning inference, and agentic frameworks, with experimental systems work in collaboration with faculty and doctoral students.
The position will involve design, implementation, and evaluation of distributed systems and networks for ML inference, plus related machine learning concepts. The successful candidate will contribute to scientific publications and new grant applications, working with Professor Dejan Kostic and Associate Professor Marco Chiesa.
Requirements: doctoral degree (or equivalent) by the time of appointment; strong background in distributed systems, networking, programming, and operating systems; excellent English; strong critical thinking; very good skills in C++, Python, Linux, and scripting; motivation to experiment and explore; and a record of international publications in journals or top conferences.
Preferred: PhD obtained within the last three years, teaching ability, collaboration skills, independence, awareness of diversity/equal opportunity issues, and experience with machine learning, GPU programming, or large-scale inference systems.
Funding/employment: full-time temporary postdoctoral employment for up to two years with monthly salary. No stipend amount is stated.
How to apply: submit your application in KTH's recruitment system. Include a CV, copies of diplomas and grades, and a brief statement explaining why you want to conduct research, your academic interests, and how they relate to your previous studies and future goals (max two pages).
Deadline: 21 October 2026.
Funding details
Postdoctoral employment for at most two years. The post is a full-time temporary position with monthly salary; no stipend amount is stated. It is part of an 18 Million SEK Wallenberg Scholar project titled "Scalable and adaptive inferencing for democratizing AI".
What's required
A doctoral degree or equivalent foreign degree is required by the time the employment decision is made. Applicants should have a solid background in distributed systems, networking, programming, and operating systems, plus very good English skills in speech and writing. Strong critical thinking, very good knowledge of C++, Python, Linux, and some scripting language are required. The post seeks a highly motivated candidate with willingness to experiment and explore, and international publications in journals and top conferences. Preferred qualifications include a doctorate obtained within the last three years, teaching ability, awareness of diversity and equal opportunity issues with specific focus on gender equality, 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 Varbi application portal. Prepare a CV, copies of diplomas and grades, and a brief statement of research motivation and academic interests (max two pages). Submit the complete application by the deadline.
More information can be found here
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