Faculty Position in Statistics
Join the University of Cambridge as an Assistant Professor in Statistics, contributing to world-class research and teaching.
Best for:Best for emerging scholars and researchers in statistics or machine learning with a strong publication record and a passion for academic teaching.
Overview
The Department of Pure Mathematics and Mathematical Statistics at the University of Cambridge invites applications for a permanent faculty appointment at the Assistant Professor level, starting September 2027. The successful candidate will engage in high-level research spanning theoretical mathematical statistics and the foundations of machine learning, while delivering engaging lectures to undergraduate and master's students. Appointees will join the prestigious Statistical Laboratory, benefit from comprehensive start-up packages and sabbatical leave, and have opportunities to build interdisciplinary collaborations worldwide. Following a successful probation period of 3 to 5 years, this position transitions into a tenured academic post.
What you'll do
- Conduct independent, world-class research in statistics and related areas of machine learning
- Deliver lectures, seminars, and classes across undergraduate and master's degree programs
- Secure external research funding to establish and sustain a vigorous research vision
- Supervise student research projects and mentor emerging scholars
- Build active collaborative networks within Cambridge, nationally, and internationally
- Contribute to departmental administration and academic citizenship duties
Requirements
Degree required: PhD or equivalent in Statistics, Mathematics, or a closely related subject
Language: English; professional fluency in reading, writing, and speaking
Instruction: English
Publications: A strong track record of research excellence with up to six nominated strongest publications or preprints.
- Demonstrated track record of research excellence in statistics or machine learning
- Proven ability or clear potential to teach statistics effectively at undergraduate and graduate levels
- Capability to secure competitive external research funding
- A strong portfolio of peer-reviewed publications or preprints
- Must be eligible to live and work in the United Kingdom
Funding & terms
How to apply
Deadline: 2026-12-07
Applicants must submit their applications online through the university recruitment portal, including reference code LF51433. Candidates are required to upload a full CV, research and teaching statements, and a publication list highlighting up to six key works. Additionally, applicants must provide contact details for three academic referees who will be automatically contacted for reference letters.
- CV
- Research statement
- Teaching statement
- List of publications
- 3 reference letters
Contact
Po-Ling Loh· Professor
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