Research Officer (NeST project)

Research Officer (NeST project)

Temporary No working from home possible
The London School of Economics and Political Science (LSE)

At a Glance

  • Tasks: Conduct innovative research on Network Stochastic Processes and Time Series.
  • Company: Join LSE, a leading university committed to diversity and inclusion.
  • Benefits: Competitive salary, generous leave, hybrid work, and excellent training opportunities.
  • Other info: Exciting career growth in a collaborative environment with a focus on innovation.
  • Why this job: Make an impact in cutting-edge research with a diverse team of experts.
  • Qualifications: PhD in statistics or machine learning, strong programming skills, and research potential.

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 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.
  • an occupational pension scheme;
  • a generous annual leave;
  • a hybrid working arrangement;
  • 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.

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Research Officer (NeST project) employer: The London School of Economics and Political Science (LSE)

The London School of Economics and Political Science (LSE) is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. With competitive salaries and the flexibility of hybrid working conditions, LSE prioritises employee growth through continuous learning opportunities and professional development. Working at LSE not only provides a chance to contribute to a prestigious institution but also to be part of a community dedicated to shaping future leaders in economics and social sciences.

The London School of Economics and Political Science (LSE)

Contact Details:

The London School of Economics and Political Science (LSE) Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Research Officer (NeST project)

Leverage University Connections

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We think you need these skills to ace Research Officer (NeST project)

PhD in Statistics
PhD in Machine Learning
Mathematical Statistics
Machine Learning Theory
High-Dimensional Statistics Inference
Complex Simulation
Real Data Analysis

Some tips for your application 🫡

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