We are currently inviting applications for a Postdoctoral Research Associate in Deep Learning to work with Professor Justin Sirignano at the Mathematical Institute, University of Oxford. This is a 6-month, fixed-term position funded by an EPSRC grant. We anticipate a starting date of 1 December 2026 (or as soon as possible thereafter) and an expected end date of 31 May 2027. There is scope for flexibility in the start and end dates, subject to approval by the department and the funding agencies.

Neural Actor-Critic Methods for Hamilton-Jacobi-Bellman PDEs: Asymptotic Analysis and Numerical Studies
Cohen, S Hebner, J Jiang, D Sirignano, J SIAM Journal on Financial Mathematics

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MAST Upgrade Divertor Facility: A Test Bed for Novel Divertor Solutions
Morris, W Harrison, J Kirk, A Lipschultz, B Militello, F Moulton, D Walkden, N IEEE Transactions on Plasma Science volume 46 issue 5 1217-1226 (01 May 2018)
3D simulations of turbulent mixing in a simplified slab-divertor geometry
Walkden, N Riva, F Dudson, B Ham, C Militello, F Moulton, D Nicholas, T Omotani, J Nuclear Materials and Energy volume 18 111-117 (Jan 2019)
A simple analytic model of impurity leakage from the divertor and accumulation in the main scrape-off layer
Stangeby, P Moulton, D Nuclear Fusion volume 60 issue 10 106005 (01 Oct 2020)
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