University of Cambridge
Postdoctoral Research Associate in Mathematical and Statistical Methods for Genome Privacy (Fixed Term)
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Postdoctoral Research Associate in Mathematical and Statistical Methods for Genome Privacy
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.
Human pangenome references provide increasingly rich representations of human genetic diversity, but their scale and structure also raise important questions about how information contributed by individuals can be protected. This project will develop new approaches at the intersection of graph algorithms, statistical methodology, optimization, privacy, and computational genomics, with the broader goal of enabling useful population-scale genomic references while limiting disclosure of sensitive information about the individuals represented within them.
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
- 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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Key Areas of Interest
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
We do not expect candidates to be experts in all of these areas. Applicants with deep expertise in one area and a strong interest in learning and working across the others are strongly encouraged to apply.
Requirements
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.
Application Process
The funding requires that candidates must not have been UK residents during the 24 months before the start date, nor be currently employed by a UK organisation or its overseas campuses.
The appointment is for two years in the first instance.
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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 gg584@cam.ac.uk.
If you have any queries regarding the application process, please contact: LE51229@maths.cam.ac.uk.
Start date: As soon as possible, or by negotiation.
Interviews will be held soon after the closing date.
Please quote reference LE51229 on your application and in any correspondence about this vacancy.
The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.
The University has a responsibility to ensure that all employees are eligible to live and work in the UK.
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