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Postdoc in Bayesian spatiotemporal modeling at Imperial College London!

Seth Flaxman writes:

We are hiring a postdoctoral research associate with a background in statistics or computer science to join a vibrant team at the cutting edge of the emerging field of spatiotemporal statistical machine learning (ST-SML). ST-SML draws in equal parts on Bayesian spatiotemporal statistics, scalable kernel methods and Gaussian processes, and recent deep learning advances in the field of computer vision. See to get an idea of our research on diverse topics including COVID-19 and criminology.

You will be based in the statistics section of the Department of Mathematics at Imperial College London. You will help lead a multiyear programme of methodological research, to tackle pressing public policy problems in collaboration with leading international organisations.

You will regularly collaborate with key external partners, including the Stan Development Team, the World Food Programme, UNAIDS, and NASA. You will regularly collaborate with key internal partners, including the Medical Research Council (MRC) Centre for Global Infectious Disease Analysis in Imperial’s world-renowned School of Public Health. In addition to research, you will help train practitioners in partner organisations. You will also have the opportunity (if desired) to participate in the supervision of postgraduate students and teaching at the doctoral level.

The position is fixed term for 36 months. The expected start date is 15 October 2020 or thereafter.

Contact Seth Flaxman (s.f[email protected]) to discuss. Closing date: 5 October 2020.

More information and how to apply:

Stan! Bayes! Criminology!

One Comment

  1. H Smith says:

    Always good to be at the cutting edge of an emerging field. Beats being at the dull edge of an emerging field, or even the cutting edge of a receding field, although I suppose both are tolerable as part of a vibrant team.

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