PhD position on Bayesian computation for non-linear inverse problems

Funded PhD opportunity
Deadline to apply: 23 August 2021

Applications are invited for a PhD position at the Delft Institute of
Applied Mathematics, Delft University of Technology.

The PhD candidate will be supervised by Hanne Kekkonen and Joris
Bierkens and will work on the project "Bayesian computation for
non-linear inverse problems". The aim of the project is to develop new
sampling methods that enable efficient computation for challenging
models from a Bayesian perspective with a focus on modern Markov Chain
Monte Carlo (MCMC) techniques. In particular the attention will be
towards highly non-linear inverse problems and state space models.

We are looking for candidates with a strong background in statistics,
probability, inverse problems, machine learning, analysis or numerical
analysis, and affinity with coding numerical methods, e.g. in Python,
C++, or Julia.

More details about the project and the application procedure can be
found at

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