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Statistics and Mathematics● OpenPostdoc⏰ 14 days leftPreview

Chapman Fellow in Mathematics (Statistics Section)

A three-year postdoctoral fellowship in statistics combining independent research, teaching, and academic development at Imperial College London.

Best for:Best for early-career statisticians with a strong publication record and a passion for academic research and teaching.

Imperial College London · London, United Kingdom · R2 · Recognised researcher
More professors at Imperial College London
Statistical ScienceProbabilityApplied StatisticsData ScienceMathematical Statistics
This is a postdoc position — not a PhD studentship.
Deadline
Oct 29, 2026
14 days
Funding
Salaried
Research Family, Research Associate, per annum
Start date
September 2027
Fixed-term
Location
London
United Kingdom

Overview

Imperial College London invites applications for one or more Chapman Fellowships in Statistics within the Department of Mathematics, starting in September 2027. This three-year fixed-term position is designed for promising researchers aiming to pursue an academic career in statistical science. The fellow will conduct independent, original research, publish in leading journals, and actively contribute to departmental seminars and academic events. Additionally, the role involves teaching undergraduate students, contributing to master's level programmes, and supervising student projects in collaboration with industrial partners.

Chapman FellowshipStatisticsPostdoctoral FellowshipMathematicsImperial College London

What you'll do

  • Conduct independent and original research in statistical science within the Department of Mathematics.
  • Prepare and submit research findings for publication in leading peer-reviewed journals.
  • Engage actively with the international statistics community by attending and presenting at conferences and seminars.
  • Deliver high-quality teaching to undergraduate students in mathematics and statistics.
  • Teach on the department's postgraduate master's programmes and oversee student theses and projects.

Requirements

Degree required: PhD in Statistics, Mathematics, or a closely related quantitative field (or nearing completion)

Language: English

Instruction: English

Publications: A strong publication record commensurate with career stage, with the expectation of publishing in leading refereed journals.

Required skills
  • A strong track record of high-level research in statistics or closely related disciplines
  • Demonstrated ability to produce independent and original academic scholarship
  • Motivation and capability for undergraduate and postgraduate level teaching
  • Strong communication and interpersonal skills for supervising student projects and collaborating with partners
Nice to have
Experience collaborating with external industrial partners on applied statistics projectsFamiliarity with supervising master's level research theses
Eligibility
  • Candidates must hold a PhD or be very close to official award; those not yet awarded will be appointed as Research Assistants.

Funding & terms

Type
Salaried
Amount
Research Family, Research Associate, per annum
Duration
3 years
Programme
Chapman Fellowship
Imperial College London

How to apply

Deadline: 2026-10-29

Candidates must submit an online application via the Imperial College London recruitment portal. Along with the application form, applicants are required to upload a full curriculum vitae, a cover letter, a research statement, a teaching statement, and a complete list of publications.

Documents required
  • CV
  • Cover letter
  • Research Statement
  • Teaching Statement
  • List of publications
↗Apply on site

Contact

Robin Ryder· Associate Professor / Section Coordinator

r.ryder@imperial.ac.uk

RR
Prof.
Robin Ryder
Department of Mathematics
Lab
Statistics Section
Imperial College London
Chapman FellowshipUnited Kingdom
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