Giorgia Ramponi
3 days ago
PhD Position in Reinforcement Learning and Multi-Agent Learning at University of Zurich University of Zurich in Switzerland
Degree Level
PhD
Field of study
Computer Science
Funding
Full funding availableCountry
Switzerland
University
University of Zurich

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About this position
ALPI Lab at the University of Zurich is advertising an opening in reinforcement learning and multi-agent learning. The post is from Giorgia Ramponi, an Assistant Professor, and the lab is affiliated with the UZH.AI Hub and the ETH AI Center.
The opportunity is described as a 4-month research assistant/internship starting in September with the intention of becoming a PhD position. The lab says it is looking for a highly motivated and talented candidate to contribute to research in reinforcement learning and multi-agent learning, and that positions are competitive and limited.
Eligibility highlights: applicants should have strong foundations in at least one of reinforcement learning, machine learning, statistics, probability, optimization, or game theory. Candidates must hold or expect soon an MSc or equivalent. The lab also asks applicants to review recent publications to ensure their interests and background align with the group’s current directions.
How to apply: email [email protected] with the code AlpiApplication2026 in the subject line. Include a CV, transcript, and a short motivational letter. The lab states that applications are reviewed immediately and continue until all positions are filled.
Funding: the post does not specify stipend, tuition coverage, or other financial support. It is presented as a research assistant/internship leading toward a PhD opening.
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.
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