Senior Research Associate

Senior Research Associate

University of Bristol

Bristol, United Kingdom

Job number: ACAD103715

Division/School: School of Mathematics

Contract type: Open Ended

Working pattern: Full time

Salary: £37,345 -£42,036 per annum

Closing date for applications: 08-Feb-2019

 The University of Bristol invite applications for a Post-Doctoral Research Associate to join the New Approaches to Bayesian Data Science: Tackling Challenges from the Health Sciences research programme (http://www.lancaster.ac.uk/newbayes/).

This is an exciting, cross-disciplinary research project that will develop new methods for Bayesian statistics that are fit-for-purpose to tackle contemporary Health Science challenges such as: real-time inference and prediction for large scale epidemics; or synthesizing information from distinct data sources for large scale studies such as the UK Biobank. Methodological challenges will be around making Bayesian methods scalable to big-data and robust to (unavoidable) model errors.

This £3M programme is funded by EPSRC and brings together research groups from the Universities of Lancaster, Bristol, Cambridge, Oxford and Warwick. The lead investigators in Bristol are Prof. Christophe Andrieu (School of Mathematics) and Prof. Mark Beaumont (Life Science).

We are seeking applications for a PDRA position to work on developing new Bayesian and Computational Statistical methods, motivated and applied to challenges from Health. Active collaboration across the partner institutions, other project partners and the programme grant CoSInES (http://www.cosines.org) is expected.

The position is for four years. You should have, or be close to completing, a PhD in Statistics or a related discipline.

You will work directly with the investigators to undertake and support the research necessary to achieve the project aims. This will include, for example, publishing in leading statistical/application journals, presentation of research at workshops and conferences, developing code implementing new statistical methods, and active involvement in project meetings.

You will be experienced in one or more of the following areas:

Bayesian statistics, computational statistics, statistical machine learning, statistical genetics, inference for epidemics.

You will have demonstrated the ability to develop new statistical methodology. We are particularly keen to encourage applicants with strong computational skills and are looking to put together 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.

Candidates who are considering making an application are strongly encouraged to contact Prof. Christophe

Andrieu, email: c.andrieu@bristol.ac.uk to discuss the programme in greater detail.

The closing date for applications is 11:59pm on the 8th February 2019.

We appreciate and value difference, seeking to attract, develop and retain a diverse mix of talented people that will contribute to the overall success of Bristol and help maintain our position as one of the world’s leading universities.

http://www.bristol.ac.uk/jobs/find/details.html?nPostingId=31434&nPostingTargetId=113534&id=Q50FK026203F3VBQBV7V77V83&LG=UK&mask=uobext

Please apply via recruiter’s website.

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