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Senior Research Associate - StatScale Programme

Mathematics & Statistics
Salary:   £34,804 to £40,322
Closing Date:   Friday 30 April 2021
Interview Date:   To be confirmed
Reference:  A3051-R-R

We invite applications for Senior Research Associate positions to work on the StatScale Programme. 

StatScale is an exciting collaboration between researchers at Lancaster University and the University of Cambridge. The programme is led by Idris Eckley, Paul Fearnhead (Lancaster) and Richard Samworth, Rajen Shah (Cambridge). StatScale tackles the important inference challenges arising from streaming data. This multi-million pound research initiative is funded by the Engineering and Physical Sciences Research Council (EPSRC), the two participating institutions and a number of committed project partners. To find out more about the programme, please visit: www.statscale.org

Lancaster’s internationally recognised Statistics group is one of the largest and strongest Statistics groups in the UK with 25 academic staff, with a vibrant community of Post-doctoral researchers and research students. The Statistics group sits within the Department of Mathematics and Statistics, Lancaster is one of the UK’s top departments in Mathematics and Statistics, ranked 5th overall in the 2014 Research Excellence Framework and 3rd 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.

You should have a PhD in Statistics or a related discipline. You will be experienced in one of more of the following areas: anomaly detection, changepoint analysis, non-stationary time series analysis, high dimensional statistics, statistical-computational tradeoffs, signal processing or novel inference methods for streaming data. Demonstrable ability to produce academic writing of the highest publishable quality is essential. Experience of developing research-level software is desirable but not essential.

Interested candidates are strongly encouraged to contact Professor Idris Eckley (i.eckley@lancaster.ac.uk) and/or Professor Fearnhead (p.fearnhead@lancaster.ac.uk) in advance of making an application.

You will join us on an indefinite contract however, the role remains contingent on external funding which, at this time runs until 31 May 2023.

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.

 

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Further details:

The University provides an environment that strongly supports the individual needs of each employee, whilst promoting the importance of wellbeing for all our colleagues. We have a range of support networks available for our employees, and more information on these can be found on the ‘Working at Lancaster’ information page.

 

We are committed to family-friendly and flexible working policies on an individual basis. The University recognises and celebrates good employment practice undertaken to address all inequality in higher education.

 

We warmly welcome applicants from all sections of the community regardless of their age, religion, gender identity or expression, race, disability or sexual orientation, and are committed to promoting diversity, and equality of opportunity.


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