PhD Student in Computer and Systems Sciences - Machine Learning
Develop novel machine learning algorithms and theoretical foundations focusing on reinforcement learning and multi-agent systems at Stockholm University.
Best for:Best for graduate students in computer science, statistics, or mathematics with a strong background in machine learning theory and algorithm design.
Overview
Stockholm University’s Department of Computer and Systems Sciences (DSV) invites applications for a 4-year doctoral student position focusing on machine learning algorithms and theoretical foundations. The project emphasizes reinforcement learning, bandit methods, and multi-agent systems, with opportunities to explore scalable AI, autonomous systems, and foundation models. The successful candidate will join an international academic community in Kista, Stockholm, engaging in research, limited departmental duties, and scientific collaboration. The position provides comprehensive salary support, wellness benefits, and dedicated funding for academic travel and professional growth.
What you'll do
- Conduct independent and collaborative research on machine learning algorithms and their theoretical foundations
- Design and analyze novel methods in reinforcement learning, bandit techniques, and multi-agent systems
- Publish research findings in peer-reviewed international conferences and journals
- Participate in departmental seminars, workshops, and scientific exchange activities
- Contribute to limited educational, research, and administrative tasks up to 20% of the working time
Requirements
Degree required: Second-cycle degree (Master's) or equivalent courses totaling at least 240 higher education credits, with 60 credits at the second cycle
Degree offered: PhD
Language: English; CEFR Level B2 or equivalent proficiency
Instruction: English
- Completed second-cycle courses in Computer and Systems Sciences or a closely related quantitative field with a minimum of 60 higher education credits
- Completed a master's thesis or equivalent degree project of at least 15 higher education credits
- Demonstrated background in machine learning, algorithms, optimization, probability, or statistics
- Strong mathematical and analytical skills for theoretical or algorithmic research
- Must meet the general and specific entry requirements for third-cycle studies at Stockholm University by the application deadline
Funding & terms
How to apply
Deadline: 2026-10-15
Submit your application through Stockholm University's online recruitment system before the deadline. Ensure all requested documents, including a personal letter and CV, are attached and formatted in English in accordance with the official application guidelines.
- CV
- Cover letter
- Degree certificates and transcripts
- Master's thesis
Contact
Sindri Magnusson· Associate Professor
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