The Francis Crick Institute
1 week ago
PhD in Genetic Mechanisms of Metabolic Rate Control in Birds and Mammals The Francis Crick Institute in United Kingdom
Degree Level
PhD
Field of study
Cell Biology
Funding
Funded PhD project. Successful applicants receive a non-taxable annual stipend of £27,715 plus payment of university tuition fees. Students of all nationalities are eligible to apply.
Deadline
Nov 2, 2026
Country
United Kingdom
University
The Francis Crick Institute

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About this position
PhD opportunity at The Francis Crick Institute with Dr Ekaterina Osipova on genetic mechanisms of metabolic rate control in birds and mammals.
This project focuses on how metabolic rate varies across animals and how genetic elements, genes, and regulatory regions shape those differences. The work combines comparative genomics, evolution, genomics, bioinformatics, molecular genetics, and potentially lab-based validation. The lab uses evolutionary rate-based methods and machine-learning approaches to connect DNA changes with phenotype evolution, aiming to build a large-scale comparative genomic map of metabolic rate control in true endotherms.
Applicants should be highly motivated and interested in evolution and genomics, with a willingness to analyze large-scale genomic and transcriptomic data. Prior experience in computational biology, evolution, or genomics is helpful but not required. The project offers flexibility: it can stay computational or include experimental validation depending on the student’s interests and strengths.
Funding: fully funded PhD project with a non-taxable annual stipend of £27,715 plus university tuition fees. Students of all nationalities are eligible.
Location: London, United Kingdom.
Application note: the listing includes a lab-specific question asking what aspect of the lab’s research you would explore further and what perspective, skill, or approach you would bring.
Funding details
Funded PhD project. Successful applicants receive a non-taxable annual stipend of £27,715 plus payment of university tuition fees. Students of all nationalities are eligible to apply.
What's required
Highly motivated candidates with a strong interest in evolution and genomics are sought. A willingness to work with large-scale genomic and transcriptomic data analysis is required. Prior experience in computational biology, evolution, or genomics is a plus but not required; training will be provided. The project can be primarily computational or extend into lab-based validation depending on the candidate's interests and strengths.
How to apply
Answer the lab-specific question in the application and submit your PhD application through the FindAPhD listing/institution process. Review the project details and prepare to explain your research interests, relevant experience, and what you would bring to the project.
More information can be found here
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