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Research Officer (NeST project

Job in City Of London, Central London, Greater London, England, UK
Listing for: LONDON SCHOOL OF ECONOMICS AND POLITICAL SCIENCE
Full Time position
Listed on 2026-08-23
Job specializations:
  • Research/Development
    Research Scientist, Data Scientist
Salary/Wage Range or Industry Benchmark: 43277 - 51714 GBP Yearly GBP 43277.00 51714.00 YEAR
Job Description & How to Apply Below
Position: Research Officer (NeST project)
Location: City Of London

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

Department of Statistics

Research Officer

Salary from £43,277 to £51,714 pa inclusive with potential to progress to £55,497 pa inclusive of London allowance

Funding is available to support this position for 23 months expecting to start on 1 October 2026.

NeST is a collaborative six-year EPSRC Programme Grant led by a team of 9 investigators located in 6 UK universities. NeST enables cross-over and the sharing of ideas and techniques across the universities. The investigatory team is diverse in many ways, but in particular has technical diversity with expertise in statistics, applied probability, computational methods, mathematics and experience of extensive engagement with external partners.

Further information on NeST is available at

Applications are invited for a Research Officer position on the research project "Network Stochastic Processes and Time Series (NeST)" funded by the EPSRC. You will conduct the relevant research under the direction of Professor Qiwei Yao.

  • a PhD in statistics or machine learning or expect to submit their PhD within 6 months of the post start date;
  • a solid background in mathematical statistics or machine learning theory;
  • excellent research achievement or potential for such achievement in high-dimensional statistics inference and theory;
  • an ability to conduct complex simulation and real data analysis; and advanced programming skills.

We offer:

  • an occupational pension scheme;
  • generous annual leave;
  • hybrid working;
  • excellent training and development opportunities.
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