Research Associate/Assistant in Reinforcement Learning for Multi-Agent Systems

University of Cambridge Department of Computer Science and Technology

United Kingdom

Research Assistant: £26,715 -£30,942 or Research Associate: £32,816 -£40,322

Fixed-term: The funds for this post are available until 31 December 2025 in the first instance.

Applications are invited for a Research Associate (PostDoc) or Research Assistant to join the Prorok Lab in the Department of Computer Science and Technology, at the University of Cambridge, UK. Our lab is a team of PostDocs and PhD students investigating new coordination / cooperation schemes for multi-agent and multi-robot systems. Our mission is to find efficient and resilient methods for coordinating artificially intelligent agents to achieve common goals in shared physical and virtual spaces.

The Research Associate/Assistant will work together with a team of students and research collaborators on models that facilitate the coordination of multi-agent systems with multiple, potentially conflicting objectives. We seek candidates with a strong background in computer science, substantial experience with reinforcement learning, and a keen interest in multi-agent systems. Experience with graph neural networks (GNNs) is a plus.

The position will be renewed on a yearly basis. There will be opportunities to contribute to international collaborative projects with other universities as well as industry.

Requirements: Candidates should have a Ph.D. and a strong publication record optimization / control / machine learning / automation. The ideal candidate should be familiar with multi-agent systems, have excellent programming skills, and experience in methods for optimization and reinforcement learning. Good communication, presentation and management skills are desirable.

Deadline and starting date: The position is available immediately. Applications will be processed as they arrive until the position is closed.

Applicants should contact Dr Amanda Prorok for further information.

Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online.

Please provide a curriculum vitae, a cover letter, a brief research statement and two key publications along with contact information for two references . If you upload any additional documents which haven't been requested, we will not be able to consider these as part of your application.

Please quote reference NR26196 on your application and in any correspondence about this vacancy.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

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