KTH Royal Institute of Technology
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Postdoc in Computational Methods for Games and Multi-Agent Decision Making KTH Royal Institute of Technology in Sweden
Degree Level
Postdoc
Field of study
Computer Science
Funding
Available
Deadline
Oct 15, 2026
Country
Sweden
University
KTH Royal Institute of Technology

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About this position
Postdoc opportunity at KTH Royal Institute of Technology in Stockholm, Sweden in Computational Methods for Games and Multi-Agent Decision Making.
This postdoctoral position is hosted by the School of Electrical Engineering and Computer Science and is affiliated with WASP (Wallenberg AI, Autonomous Systems and Software Program). The project sits at the intersection of game theory, optimization algorithms, numerical methods, and multi-agent autonomous systems. The successful candidate will work on scalable algorithms for equilibrium computation in multi-agent games, open-source computational tools and benchmarks, and applications of game-theoretic solvers to autonomous systems.
Eligibility and requirements: Applicants must have a doctoral degree or equivalent foreign degree by the time the employment decision is made. The ad asks for a strong mathematical background, a record of research achievements and publications in high-impact venues in automatic control, optimization, or related fields, and proficiency in scientific programming (for example Python, Julia, or C++). Experience implementing optimization algorithms is required, together with the ability to work independently and in interdisciplinary teams, strong communication skills, and awareness of diversity and equal opportunity issues. Preferred qualifications include a PhD obtained within the last three years, expertise in operator theory, variational inequalities, or operator-splitting methods, contributions to optimization software, and teaching or mentoring experience.
Funding and appointment: This is a temporary full-time postdoctoral position for up to two years. The announcement does not specify a stipend amount or salary details beyond monthly salary.
How to apply: Apply through KTH's recruitment system. Prepare a CV (max 2 pages), diplomas and grades, a motivation letter (max 1 page), a research statement (max 1 page excluding references), and contact details for two academic or professional references. Submit the application before 15 October 2026 at midnight CET/CEST.
Funding details
Available
What's required
Applicants must hold a doctoral degree or equivalent foreign degree by the time the employment decision is made. A strong foundation in mathematical tools relevant to the project is required, along with a demonstrated record of research achievements and publications in high-impact venues in automatic control, optimization, or related fields. Candidates should have proficiency in scientific programming such as Python, Julia, or C++ and experience implementing optimization algorithms. The post also requires the ability to work independently and in interdisciplinary teams, excellent written and verbal communication skills, and awareness of diversity and equal opportunity issues. Preferred qualifications include a PhD obtained within the last three years, expertise in operator theory, variational inequalities, or operator-splitting methods, contributions to optimization software, and teaching or mentoring experience.
How to apply
Log into KTH's recruitment system and submit the required application documents. Include a CV, diplomas and grades, a motivation letter, a research statement, and contact details for two references. Apply before midnight CET/CEST on 15 October 2026.
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