Publisher
source

Rosalind Franklin Institute

PhD studentship

PhD Studentship in Molecular Perturbations, Multidimensional Imaging, Quantitative Biology, or AI for Predictive Biology The Rosalind Franklin Institute in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available

Deadline

Aug 14, 2026

Country flag

Country

United Kingdom

University

Rosalind Franklin Institute

Social connections

How do I apply for this?

Sign in for free to reveal details, requirements, and source links.

Meet Kite AI

Apply for this position

Keywords

Computer Science
Machine Learning
Chemistry
Biomedical Engineering
Medical Imaging
Biology
Mathematics
Artificial Intelligence
Technical Engineering
Transmission Electron Microscopy
Bioinformatic
Physics
compututional

Suggested scholarships

About this position

The Rosalind Franklin Institute is advertising a fully funded PhD studentship in the United Kingdom at its Harwell, England location. The programme is designed for students interested in highly interdisciplinary research at the interface of biology, chemistry, physics, mathematics, computer science, biomedical engineering, imaging, and AI.

Applicants can choose from four challenge areas: Molecular Perturbations, Multidimensional Imaging, Quantitative Biology Across Scales, and Artificial Intelligence and Informatics for Predictive Biology. The post highlights work involving molecular tools, advanced microscopy, image reconstruction, inverse problems, computational modelling, machine learning, Linux-based high-performance computing, and scalable data pipelines.

This is a four-year fully funded PhD programme with a generous tax-free stipend and additional benefits. The institute also offers access to state-of-the-art labs, industrial collaborations, mentoring, interdisciplinary skills training, and links with universities across the UK. Oxford college student society membership is included, but Oxford registration and accommodation are not.

Eligibility is broad but challenge-specific: candidates should have a strong background in the relevant discipline for their chosen area, plus evidence of experimental, quantitative, computational, or programming skills where appropriate. The post states that no research proposal is required, but applicants must explain their motivation for the chosen Franklin Challenge. This opportunity is for a home candidate.

The final application deadline is 14 August 2026, and applications are reviewed on a rolling basis, so early submission is strongly recommended. For questions, contact [email protected] or use the Nature Careers application page.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

View more positions in PhD studentship

Ask ApplyKite AI

Start chatting
Can you summarize this position?
What qualifications are required for this position?
How should I prepare my application?