Institute: Department of Statistics and Applied Probability, National university of Singapore (NUS)
Research topics: we are looking for outstanding candidates who will be working on algorithms for PDE-constrained Bayesian inverse problems, high-dimensional Monte-Carlo methods (MCMC, particle methods, optimal transport), high-dimensional Data Assimilation (SMC, EnKF, Variational approaches, Hybrid Methods), Bayesian Deep Learning models for inference in data-scarce settings. These projects are in collaboration with (i) Abyss Processing, a young and energetic startup specializing in leveraging Deep Learning for medical diagnosis (ii) the Solar Energy Research Institute of Singapore (SERIS). The candidate will be supervised by Dr. Alex Thiery.
Time: The PhD position will start in August/September 2017
Requirements: Candidates should have an education in computer science, physics, mathematics, electrical engineering or any related field. Required are strong mathematical and programming skills as well as the ability to communicate and work well in a team.
Salary: S$ 2,000/month for the first two years. S$ 2,500/month afterwards.
Inquiries: Informal inquiries can be addressed to Dr. Alex Thiery ([log in to unmask])
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