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Postdoctoral Research Associate in Mathematical and Statistical Methods for Genome Privacy (Fixed Term)
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Salary
£37 – £46 pa
Job Type Contract
Work Pattern Full-time
Work Location On-site
Education Phd
Posted 6 Oct 2026 (Today)
Postdoctoral Research Associate in Mathematical and Statistical Methods for Genome Privacy
We invite applications for a Postdoctoral Research Associate in Mathematical and Statistical Methods for Genome Privacy in the Department of Applied Mathematics and Theoretical Physics at the University of Cambridge. The successful candidate will join the research group of Dr Gamze Gursoy and work on developing new mathematical and computational methods for privacy-preserving human pangenome references.
Depending on the successful candidate's interests and background, research directions may include differentially private construction and analysis of pangenome graphs, privacy-aware graph algorithms and representations, statistical characterization of privacy-utility trade-offs, optimization of algorithms for large genomic graphs, and development and benchmarking of methods on human pangenome data. There will be considerable freedom for the successful candidate to help shape the scientific direction of the project.
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Responsibilities
- Develop and manage their own research with guidance from the PI
- Contribute actively to the intellectual life of the research group
- Communicate their work through publications, presentations, seminars, and conferences
Requirements
We are particularly interested in candidates with a strong background in one or more of the following areas:
- Statistics
- Graph theory or graph algorithms
- Mathematical or numerical optimization
- Differential privacy or related areas of data privacy
- Algorithms and theoretical computer science
- Computational genomics, bioinformatics, or pangenomics
Applicants should have completed, or be close to completing, a PhD in statistics, mathematics, computer science, computational biology, bioinformatics, genomics, or a related field. Evidence of strong quantitative, computational, or methodological research is more important than prior experience in any particular application area. Strong programming skills and an interest in interdisciplinary research are desirable.
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About the Employer
The postholder will be expected to join a collaborative group working broadly across computational genomics, statistical genetics, privacy-preserving computation, and trustworthy methods for genomic and biomedical data.
Application Process
Please indicate the contact details (including their email addresses) of two academic referees on the online application form and upload a full curriculum vitae and a description of your recent research (not to exceed two pages). Please ensure that at least one of your referees is contactable at any time during the selection process and is made aware that they will be contacted by the Mathematics HR Office Administrator to request that they upload a reference for you to our Web Recruitment System; and please encourage them to do so promptly.
For informal enquiries, please contact Dr Gamze Gursoy at gamze.gursoy@example.com. If you have any queries regarding the application process, please contact hr-maths@example.com.
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