Nonlinear expectation and risk-aware reinforcement learning at Queen Mary University of London on FindAPhD.com

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Prof J Moriarty Applications accepted all year round Competition Funded PhD Project (Students Worldwide)

London United Kingdom Mathematics Probability

About the Project

The School of Mathematical Sciences of Queen Mary University of London invite applications for a PhD project commencing in September 2021.

This project will be supervised by Professor John Moriarty.

Recently, nonlinear expectations have been used to add risk awareness to the rapidly developing area of reinforcement learning. In this project we will study risk-aware versions of reinforcement learning algorithms rigorously, and seek to apply them in practice.

The application procedure is described on the School website. For further inquiries please contact [Email Address Removed]. This project is eligible for full funding, including support for 3.5 years’ study, additional funds for conference and research visits and funding for relevant IT needs. Applicants interested in the full funding will have to participate in a highly competitive selection process.

Funding Notes

For September 2021 entry: Funding may be available through QMUL Principal's Postgraduate Research Studentships, School of Mathematical Sciences Studentships, and EPSRC DTP, in competition with all other PhD applications.
Studentships will cover tuition fees, and a stipend at standard rates for 3-3.5 years.
We welcome applications for self-funded applicants year-round, for a January, April or September start.
The School of Mathematical Sciences is committed to the equality of opportunities and to advancing women’s careers. As holders of a Bronze Athena SWAN award we offer family friendly benefits and support part-time study.