Postdoctoral Research Assistant, University of Oxford

Ansøgningsfrist: 
30. marts, 2022
Ansøgningsfrist: 30. marts 2022

The Department of Statistics (University of Oxford) are seeking a Postdoctoral Research Assistant, to join our group at the Department of Statistics. The Postdoctoral Research Assistant will be carrying out research for the ERC project General Theory for Big Bayes, reporting to Professor Judith Rousseau. They will provide guidance to junior members of the research group such as PhD students, and/or project volunteers.

The aim of this project is to develop a general theory for the analysis of Bayesian methods in complex and high (or infinite) dimensional models which will cover not only fine understanding of the posterior distributions but also an analysis of the output of the algorithms used to implement the approaches. The main objectives of the project are (briefly): 1) Asymptotic analysis of the posterior distribution of complex high dimensional models 2) Interactions between the asymptotic theory of high dimensional posterior distributions and computational complexity. We will also enrich these theoretical developments by 3) strongly related domains of applications, namely neuroscience, terrorism and crimes and ecology.

The postholder will hold or be close to completion of a PhD/DPhil in statistics together with relevant experience. They will have the ability to manage own academic research and associated activities and have previous experience of contributing to publications/presentations. They will contribute ideas for new research projects and research income generation. Ideally, the postholder will also have experience in theoretical properties of Bayesian procedures and/or approximate Bayesian methods.

Please find the full job advert at https://my.corehr.com/pls/uoxrecruit/erq_jobspec_version_4.display_form?...

 

Queries about this post should be addressed to professor Judith Rousseau judith.rousseau@stats.ox.ac.uk

This post is fixed-term until two years 

Only applications received before 12.00 midday on 30 March 2022 will be considered

Interviews will be held on 11 April 2022.