Reader or Senior Lecturer in Statistics

Lancaster University
November 13, 2022
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Offerd Salary:£54,949 to £61,823
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Reader or Senior Lecturer in Statistics

Mathematics & Statistics Salary: £54,949 to £61,823 Closing Date: Sunday 13 November 2022 Interview Date: Monday 21 November 2022 Reference: 0167-22

Job Title: Reader in Statistics

Department: Mathematics and Statistics

Applications are sought from candidates working in methodological statistics connected with real-world challenges who are ready to take on senior roles in teaching and research. You should have a track record of publishing internationally recognised research and supporting your research program with external funding. You will be excited to join and contribute to the Statistics Section, and to provide leadership in teaching and research. You will have expertise in developing and delivering a wide variety of statistical education. You will be enthused by the opportunity to mentor colleagues and to work as part of the team to raise even further the high reputation of statistics at Lancaster University. To be appointed at Reader level you must demonstrate substantial research funding, frequent internationally-recognised research outputs, and a clear potential for scientific leadership.

After one year in post, the successful applicant will have the opportunity to apply to a generous recruitment and retention scheme that can increase annual salary by up to £8,000.

This is an exciting time to join one of the largest and most vibrant statistics communities in the UK. We currently hold more EPSRC funding than any other UK statistics group and comprise of 25 academic staff, 19 research associates and over 50 research students , with research expertise across Bayesian and Computational Statistics, Time Series and Changepoints, Extreme Value Statistics, Statistical Learning, Statistical Ecology, and Environmental, Medical and Social Statistics. Lancaster is one of the UK's top departments in Mathematics and Statistics, ranked 7th overall in the 2021 Research Excellence Framework and 1st for impact.

The Department hosts the EPSRC-funded Centre for Doctoral Training in Statistics and Operational Research in partnership with industry, STOR-i (www. stor-i.lancs.ac.uk), in collaboration with the Department of Management Science, and is a member of the ESRC North West Social Science Doctoral Training Partnership (https:// www. nwssdtp.ac.uk/). The Department is one of the founding partners in Lancaster's thriving Data Science Institute (www. lancaster.ac.uk/dsi), which has core themes focusing on health, environment and society. These activities build on flourishing undergraduate and postgraduate programmes in Statistics.

We welcome applications from all diversity groups. The Department provides an environment that aims to meet the individual needs of each member of staff. All new lecturers are provided with mentoring and support from the group as a whole, with a carefully selected group lead taking responsibility for personal development. 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, flexible and job-share basis wherever possible and habitually agree to flexible modes of working.

Informal enquiries should be made to Professor David Leslie (d.leslie@lancaster.ac.uk), Professor Paul Fearnhead (p.fearnhead@lancaster.ac.uk) or Professor Rachel McCrea ( r.mccrea@lancaster.ac.uk).

Please use the covering letter to explain your suitability for this role and how you will contribute to the Department of Mathematics and Statistics at Lancaster University. General information about us is available at https:// www. lancaster.ac.uk/maths/ .

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

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