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University of Cambridge

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PhD Opportunity in RNA Biology and Machine Learning at the University of Cambridge University of Cambridge in United Kingdom

Degree Level

PhD

Field of study

Cell Biology

Funding

Cambridge Biosciences BBSRC DTP PhD project; funding details are not specified in the post, but it is presented as a funded doctoral project within the BBSRC DTP scheme.

Deadline

Dec 8, 2026

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Country

United Kingdom

University

University of Cambridge

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Keywords

Cell Biology
Computer Science
Chemistry
Biomedical Engineering
Biology
Rna Biology
High-throughput Sequencing
Computational Modelling
ML

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About this position

PhD opportunity at the University of Cambridge in RNA biology and machine learning.

This Cambridge Biosciences BBSRC DTP PhD project will investigate how RNA modifications reshape RNA structure and function. The project is supervised by Bianca Pierattini and Eric Miska, and includes a Computer Science rotation in Pietro Lio'’s Lab.

The research is highly interdisciplinary and combines RNA biology, structural probing, high-throughput sequencing, cell biology, computational modelling, and analysis of a library of synthetic RNA sequences. It is aimed at candidates who are enthusiastic about working across experimental and computational approaches.

No need to be an expert in every area; the post explicitly says enthusiasm and willingness to learn matter more than having all the technical background already.

Application deadline: 8 December 2026.

Project reference: TRG27-BIO-EM1.

Interested applicants are encouraged to contact Bianca Pierattini for an informal discussion before applying, then follow the project details link to proceed with the application.

Funding details

Cambridge Biosciences BBSRC DTP PhD project; funding details are not specified in the post, but it is presented as a funded doctoral project within the BBSRC DTP scheme.

What's required

Applicants should be excited to work across disciplines spanning experimental and computational research. The post says prior expertise in all areas is not required; enthusiasm and a willingness to learn are emphasized. Relevant interests include RNA biology, structural probing, sequencing, cell biology, and computational modelling.

How to apply

Review the project details link and contact Bianca Pierattini for an informal discussion before applying. Use the project reference TRG27-BIO-EM1 when searching or submitting an application.

More information can be found here

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