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Postdoctoral position in machine learning with a focus on reinforcement learning and model predictive control Uppsala University in Sweden
Degree Level
Postdoc
Field of study
Computer Science
Funding
Full funding availableDeadline
Aug 21, 2026
Country
Sweden
University
Uppsala University

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About this position
Uppsala University is advertising a postdoctoral position in machine learning with a focus on reinforcement learning and model predictive control (MPC) at the Department of Information Technology, Division of Systems and Control, in Uppsala, Sweden.
The project aims to develop, analyze, and apply new methods in stochastic and deterministic RL/MPC, with particular interest in robust reinforcement learning, non-ergodic cost/reward settings, state-space models, deep learning, and probabilistic modeling. The work is connected to a strong international research network and includes collaboration with Assistant Professor Dominik Baumann (Aalto University) and Assistant Professor Johannes Köhler (Imperial College London). The position is jointly supervised in these areas, and the postdoctoral researcher may also contribute to teaching up to 20% depending on interest and availability.
Eligibility: applicants must hold a PhD in machine learning, control, signal processing, or a closely related field, or an equivalent foreign degree. The degree must be completed by the employment decision date. Preference is given to candidates who earned the degree within the last three years, unless special circumstances apply. Strong experience in RL and/or MPC, good English communication, and programming skills (preferably Python) are expected. Publications in leading machine learning conferences or control journals are considered a strong advantage.
Funding and employment: this is a temporary full-time postdoctoral appointment for 2 years under a central collective agreement. The posting mentions salary (fast lön) but does not mention a stipend or tuition support.
How to apply: submit the application via Uppsala University’s recruitment system by 21 August 2026. Include a CV, publication list, a one-page summary of current and previous research, a one-page proposal for future research, and contact information for two references. The portal replaces the cover letter with application questions that must be answered online.
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
More information can be found here
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