Ocean is seeking to recruit a Research Fellow to join the team of investigators led by Gareth Roberts.

The successful applicant will be based at Warwick but expected to work alongside other researchers from Roberts’s team (including Adam Johansen at Warwick, Murray Pollock and Hongsheng Dai at Newcastle University, and Louis Aslett at Durham University), as well as researchers from the teams in Paris and Berkeley. They will participate in the many collaborative activities of OCEAN, while also enjoying the vibrant research environment of the Warwick Computational Statistics group.

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Qualifications

We encourage applications in all areas of the theory, methodology and applications of Computational Statistics or Machine Learning. Previous knowledge of statistical privacy, distributed inference, and/or game theory would be useful, but are not expected.

You should have, or be close to completing, a PhD in Statistics, Probability, Machine Learning or a related discipline.

We are particularly keen to encourage applicants with strong computational skills, as part of a team of researchers with skills that cover theoretical, methodological, and applied statistics. A demonstrable ability to produce academic writing of the highest publishable quality is essential.

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Funding

£33,966 to £44,263 per annum

Application Procedure

Ocean is seeking one or two postdoctoral researchers with an interest in Bayesian federated learning, distributed MCMC, approximate Bayesian inference and computing, and data privacy.

The project is based at Université Paris Dauphine, on the new PariSanté Campus.  The postdocs will join the OCEAN teams of researchers directed by Éric Moulines and Christian P. Robert to work on the above themes with multiple possibilities of focus from statistical theory, to Bayesian methodology, to decision theory, to algorithms, to medical applications. Collaborations with the OCEAN teams of researchers directed by Michael Jordan (Berkeley) and Gareth Roberts (Warwick) will further be encouraged and related travel will be supported.

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Qualifications

The candidates should hold a doctorate in applied maths, statistics or machine learning, with demonstrated skills in Bayesian analysis, game theory, Monte Carlo methodology or numerical probability, an excellent record of publications in these domains, and an interest in working as part of an interdisciplinary international team. Scientific maturity and research autonomy are a must for applying. There is no deadline for the positions, which will be filled when a suitable candidate is selected.

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Funding

Besides a 2 year postdoctoral contract at Université Paris Dauphine (with possible extension for another year), at a salary of 31K€ per year, the project will fund travel to OCEAN partners’ institutions (University of Warwick or University of Berkeley) and participation to yearly summer schools and conferences. Standard French university benefits are attached to the position and no teaching duty is involved, as per ERC rules.

The starting date of the postdoctoral positions is negotiable depending on the applicants’ availability.

Application Procedure