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Algorithmic game theory and mechanism design

Algorithmic game theory, which is at the interface of economics and computation, looks at situations with strategic users and aspires to explain and provide guarantees for their strategic outcomes (equilibria).

Important examples of such strategic environments are markets (financial markets, auctions) and traffic systems. Our research explores the computational foundations of economics or game theory, with core topics including auctions and mechanism design, evaluation and computation of equilibria and social choice theory.

Opportunities

We welcome opportunities to engage with students, researchers, and industry partner:

  • PhD opportunities: please contact us if you are interested in pursuing a PhD in automata and/or games
  • Consultancy and research collaborations: we welcome partnerships, consultancy, and knowledge exchange projects with academic, industry, and government partners.

Contact us

Please discuss with relevant academic staff if you are interested in their research.