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

This postdoctoral position at KTH Royal Institute of Technology is part of the prestigious Wallenberg Scholar project, "Scalable and adaptive inferencing for democratizing AI," with a total funding of 18 Million SEK. The project aims to significantly reduce the cost and power consumption associated with serving large language models, such as ChatGPT, making advanced AI more accessible and sustainable. The successful candidate will focus on the design, implementation, and evaluation of distributed systems and networks for machine learning inference, contributing to the development of agentic frameworks and experimental systems.

The research will be conducted in a collaborative environment alongside faculty members, including Professor Dejan Kostic and Associate Professor Marco Chiesa, as well as several doctoral students. The postdoc will be expected to contribute to scientific publications and new grant applications, and will have opportunities to engage in experimental systems work. The position is full-time, based in Stockholm, and is offered for up to two years with a competitive monthly salary.

Applicants must hold a doctoral degree (or equivalent foreign degree) by the time of employment and possess a strong background in distributed systems, networking, programming, and operating systems. Proficiency in English, C++, Python, Linux, and scripting languages is required. Preferred qualifications include recent doctoral graduation (within three years), teaching abilities, awareness of diversity and equal opportunity issues, and experience with machine learning, GPU programming, or large-scale inference systems. The ability to work both independently and collaboratively is essential, and international publications are highly valued.

KTH offers a dynamic and creative research environment with excellent working conditions and benefits. The university is committed to equality, diversity, and equal opportunities, which are integral to its core values. The application process requires submission of a CV, diplomas and grades (with translations if necessary), and a brief statement of research interests and goals. Applications must be submitted through KTH's recruitment system by June 21, 2026.

For further information, contact Professor Dejan Kostic ([email protected]) or Associate Professor Marco Chiesa ([email protected]). For application, visit the official link provided.