Senior Research Associate - StatScale Programme
Job Title: Senior Research Associate - StatScale Programme x 2 posts
Department: Mathematics & Statistics
Salary: £34,804 to £40,322
Closing Date: 13th September, 2020
Interview Date: 24th September, 2020
Contract: Fixed Term
We invite applications for 2 two-year Post-Doctoral 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, 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 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 (email@example.com) and/or Professor Fearnhead (firstname.lastname@example.org) in advance of making an application.
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.