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Senior Research Associate

University of Bristol - School of Mathematics

Location: Bristol
Salary: £37,345 to £42,036 per annum, Grade J
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 20th August 2019
Closes: 20th September 2019
Job Ref: ACAD103715

“New Approaches to Bayesian Data Science”

The position is for up to four years.

Interview Date: Early October 2019

We invite applications for a Post-Doctoral Research Associate to join the School of Mathematics at the University of Bristol to work with Prof. Christophe Andrieu (School of Mathematics) and Prof. Mark Beaumont (Life Science) on new approaches to tackle Bayesian inference in complex statistical models arising in particular in the area of Health Science, with a focus on genetics and/or epidemiological aspects. 

The position is associated with a £3M programme funded by EPSRC, Bayes4Health (http://www.lancaster.ac.uk/newbayes/), and brings together research groups from the Universities of Lancaster, Bristol, Cambridge, Oxford and Warwick. Active collaboration across the partner institutions, other project partners and the programme grant CoSInES (http://www.cosines.org) is expected. The position is for up to four years. 

You should have, or be close to completing, a PhD in Statistical Science, Machine learning 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 methodological and 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 (c.andrieu@bristol.ac.uk) to discuss the programme in greater detail. 

We welcome applications from people in all diversity groups. 

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

The University of Bristol is committed to equality and we value the diversity of our staff and students.

   
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