Research Officer

LSE is committed to building a diverse, equitable and truly inclusive university 

Salary from £42,429 to £50,656 per annum inclusive with potential to progress to £54,295 pa inclusive of London allowance

This is a fixed term appointment for 24 months to start on 1 April 2025

Applications are invited for a Research Officer position to join the Statistical Foundations for Detecting Anomalous Structure in Stream Settings (DASS) programme. You will conduct the relevant research under the direction of Professor Qiwei Yao.

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 £4 million programme is funded by EPSRC and brings together research groups from the London School of Economics and Political Science (LSE) and the Universities of Bristol, Lancaster and Warwick 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 (LSE) and Yi Yu (University of Warwick). 

Two-year positions are available at each of the four partner universities. We strongly encourage you to also consider applying to the separately advertised posts associated with the DASS programme at the Universities of Bristol, Lancaster and Warwick, details of which can be found here.

Candidates must have a PhD in statistics or a closely-related subject or expect to have submitted their PhD by the post start date. 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.  

We offer an occupational pension scheme, generous annual leave, hybrid working, and excellent training and development opportunities.

For further information about the post, please see the how to apply document, job description and the person specification.

To apply for this post, please click the 'Apply' button, above.

If you have any technical queries with applying on the online system, please use the “contact us” links at the bottom of the LSE Jobs page.

Should you have any queries about the role, please email q.yao@lse.ac.uk. 

The closing date for receipt of applications is 27 January 2025 (23.59 UK time).

Regrettably, we are unable to accept any late applications.

Interviews will take place on 10-11 February 2025.

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