Senior Research Associate: Computational Statistical Inference for Engineering and Security – 1156-22

View All Vacancies Mathematics & Statistics
Salary:

£36,386 to £42,155

Closing Date:  

Wednesday 30 November 2022

Interview Date:  

Thursday 08 December 2022

Reference:  

1156-22

Job Title: Senior Research Associate 

Department of Mathematics and Statistics, Lancaster University

We invite applications for a Senior Post-Doctoral Research Associate position to join the Computational Statistical Inference for Engineering and Security (CoSInES)  programme. This is an exciting, cross-disciplinary research project that will develop new methods for Bayesian statistics that are fit-for-purpose to tackle contemporary challenges from engineering and security. The £3M programme is funded by EPSRC, and brings together research groups from the Universities of Lancaster, Bristol, Oxford and Warwick. See http://www.cosines.org for more details.

Lancaster’s internationally recognised Statistics group is one of the largest and strongest Statistics groups in the UK with 25 academic staff, and a vibrant community of post-doctoral researchers and research students. The Statistics group sits within the Department of Mathematics and Statistics, one of the UK’s top departments in the Mathematical Sciences, ranked 7th overall in the 2021 Research Excellence Framework and 1st for the impact of its research.

The department provides an environment which aims to meet the individual needs of each member of staff. We are committed to family-friendly and flexible working policies, and seek to promote a healthy work-life balance. The University is a charter member of Athena SWAN and has held a Bronze award since 2008, in recognition of good employment practice to address gender equality in higher education and research. The Department achieved its own Athena SWAN Bronze award in 2017 and is a registered supporter of the London Mathematical Society’s Good Practice Scheme. We will consider applications to work on a part-time or flexible basis.

You should have, or be close to completing, a PhD in Statistics or a related discipline. You will be experienced in one of more of the following areas: Bayesian statistics, computational statistics ot statistical machine learning. You will have the demonstrated the ability to develop new statistical methodology. We are particularly keen to encourage applicants with strong computational skills. A demonstrable ability to produce academic writing of the highest publishable quality is essential. 

Further details, including access to the on-line application process is available WEB ADDRESS.

Candidates who are considering making an application are strongly encouraged to contact Professor Paul Fearnhead (p.fearnhead@lancaster.ac.uk ) to discuss the programme in greater detail. 

Position available: for up to 11 months

Please state in your cover letter your suitability to the role and how you will contribute to the programme.

We welcome applications from people in all diversity groups.

Further details:

We promote equality of opportunity and diversity within the workplace and welcome applications from all sections of the community.

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