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University of Leicester

PhD in AI-Designed Binders for Secretome and Discovery Proteomics University of Leicester in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

Funded PhD project for students worldwide. The post is described as a CASE PhD project and funded, but no stipend amount or tuition details are given in the text.

Deadline

Nov 23, 2026

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Country

United Kingdom

University

University of Leicester

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Keywords

Computer Science
Chemistry
Biomedical Engineering
Biology
Medical Science
Bioscience

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About this position

PhD opportunity at the University of Leicester in AI-designed binders, secretome research, and discovery proteomics.

This funded CASE PhD project explores whether AI-designed mini-binders can be made selective enough to recognize the right protein target in complex biological samples. The work focuses on the secretome and aims to create new tools for discovery science and future diagnostics.

You will use existing proteomic datasets to identify secreted proteins of interest, design binders with partners in Canada, produce the binders/proteins, and test selectivity using knockout cell lines. The project also includes benchmarking against existing antibodies where available, and developing first-in-class tools where no reliable reagent exists.

The project is based in the UK’s only YCharOS laboratory at Leicester, with at least three months spent with YCharOS Inc. in Canada. Training includes AI binder design with Professor Jeff Lee in Toronto and selectivity testing with Dr Carl Laflamme in Ottawa.

Funding: Funded PhD project for students worldwide. No stipend amount or tuition details are stated in the post.

Eligibility/fit: Suitable for candidates interested in computational design, protein production, proteomics, cell biology, microbiology, and rigorous experimental validation.

Deadline: 2026-11-23.

Funding details

Funded PhD project for students worldwide. The post is described as a CASE PhD project and funded, but no stipend amount or tuition details are given in the text.

What's required

Applicants should be interested in computational design, protein production, proteomics, and rigorous experimental validation. The project involves using existing proteomic datasets, designing binders with partners in Canada, producing proteins, and testing selectivity against knockout cell lines. Willingness to spend at least three months in Canada is part of the project structure.

How to apply

Visit the FindAPhD project page and follow the application instructions on the University of Leicester/FindAPhD listing. Review the project details and apply through the linked opportunity page.

More information can be found here

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