Data Settings (DASS) x4
School of Mathematical Sciences Location: Various Salary: £39,105 to £45,163 (Full time, indefinite with end date) Closing Date: Monday 27 January 2025 Interview Date: Monday 10 February 2025 Reference: 1435-24
Departments:
Senior Research Associate, School of Mathematical Sciences, Lancaster University x2
Senior Research Associate, School of Mathematics, University of Bristol
Research Fellow, Department of Statistics, University of Warwick
Salary: £34,866 to £47,874
Salary range varies dependent on salary scales and ranges of individual institutions.
We invite applications for Post-Doctoral Research Associate positions to join the Statistical Foundations for Detecting Anomalous Structure in Stream Settings (DASS) Programme. The DASS Programme will consider the foundational statistical challenges of identifying anomalous structure in streams within constrained environments, handling the realities of contemporary data streams, and identifying and tracking dependence across streams.
This £4M programme is funded by EPSRC and brings together research groups from the Universities of Lancaster, Bristol, Warwick and the London School of Economics together with a committed group of industrial and public sector partners.
Interaction between the research groups at the universities will be strongly encouraged and resourced; our philosophy is to tackle the methodological, theoretical and computational aspects of these statistical problems together. This integrated approach is essential to achieving the substantive fundamental advances in statistics envisaged, and to ensuring that our new methods are sufficiently robust and efficient to be widely adopted by academics, industry and society more generally.
This programme will be led by Idris Eckley (Lancaster University), Haeran Cho (University of Bristol), Paul Fearnhead (Lancaster University), Qiwei Yao (London School of Economics) and Yi Yu (University of Warwick).
These 2 year positions are available at each of the partner universities. You should have, or be close to completing, a PhD in Statistics or a closely related discipline. Throughout, you should have demonstrated an ability to develop new statistical methods or theory in one of the relevant areas, including but not limited to: anomaly detection; changepoint analysis; non- stationary time series analysis, high dimensional statistics, statistical- computational tradeoffs, scalable statistical methods. You will also have shown a demonstrable ability to produce academic writing of the highest publishable quality.
For the four advertised posts, you will need only apply once regardless of whether they want to be considered for just one or all four of the positions. Unless explicitly stated, we will assume that you are happy to be considered for all the advertised positions. Alternatively, please state clearly in your cover letter which positions you wish to be considered for, and explain how your research background is relevant for the specific positions and research themes you are interested in. In addition, we also strongly encourage you to consider applying to the separately advertised LSE post associated with the DASS programme, details of which will be available here.
These are full-time positions, though we will consider applicants requesting part-time or other flexible working arrangements. We welcome applications from people in all diversity groups.
Candidates who are considering making an application are strongly encouraged to contact Idris Eckley ([email protected]), Haeran Cho ([email protected]), Paul Fearnhead ([email protected]), Yi Yu ([email protected]) to discuss the programme in greater detail.
Closing date: Friday 27th January 2025
Interview arrangements: Interviews to be held 10th /11th February 2025
Positions available: 1st April 2025, or as soon as possible thereafter
Apply Online
Further details:Please note: unless specified otherwise in the advert, all advertised roles are UK based.
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