At a Glance
- Tasks: Conduct innovative research in statistics and machine learning for the NeST project.
- Company: LSE, a leading university committed to diversity and inclusion.
- Benefits: Competitive salary, hybrid working, generous leave, and excellent training opportunities.
- Other info: Exciting opportunity with career growth in a collaborative environment.
- Why this job: Join a diverse team and make impactful contributions to cutting-edge research.
- Qualifications: PhD in statistics or machine learning, strong programming skills, and research potential.
The predicted salary is between 43277 - 51714 £ per year.
LSE is committed to building a diverse, equitable and truly inclusive university.
Department of Statistics
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 https://nest-programme.ac.uk/
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.
Candidates should have:
- 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, and excellent training and development opportunities.
The closing date for receipt of applications is 21 August 2026 (23.59 UK time). Regrettably, we are unable to accept any late applications. Interviews will take place in September 2026.
Research Officer (NeST project) employer: LONDON SCHOOL OF ECONOMICS AND POLITICAL SCIENCE
The London School of Economics and Political Science is an exceptional employer, offering a dynamic work environment that fosters collaboration and innovation in the field of Gender Studies. With a commitment to employee development through training opportunities and a generous leave policy, staff can thrive both personally and professionally while enjoying the flexibility of hybrid working arrangements. Join us to be part of a vibrant academic community dedicated to impactful communication and meaningful engagement.
Contact Details:
LONDON SCHOOL OF ECONOMICS AND POLITICAL SCIENCE Recruitment Team
