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PhD in Automated Closed-Loop Peptide Drug Discovery to Replace Antibodies University of Warwick in United Kingdom
Degree Level
PhD
Field of study
Cell Biology
Funding
Funded PhD project for students worldwide. The post indicates a funded studentship but does not specify stipend amount, tuition coverage, or other financial details.
Deadline
Nov 23, 2026
Country
United Kingdom
University
University of Warwick

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About this position
PhD opportunity at the University of Warwick in Automated Closed-Loop Peptide Drug Discovery to Replace Antibodies.
This funded PhD project sits at the intersection of biology, computer science, machine learning, molecular biology, and cell biology. The project aims to build a fully automated design-build-test-learn pipeline for discovering short peptide antibody-mimetics that can serve as robust, low-cost alternatives to antibodies in therapeutics and lateral flow diagnostics.
Working with Dr Alexander Baker and Prof Gabriele Sosso at the University of Warwick, the research combines sequence-based machine learning, molecular dynamics simulations, chemical synthesis, experimental testing, and iterative model improvement. The goal is to create a self-driving discovery framework that can propose peptide binders, synthesize and test them, and use the resulting data to improve the next round of designs.
The post describes a funded PhD project for students worldwide. No stipend amount, tuition details, or specific eligibility thresholds are given in the text provided.
Location: Coventry, United Kingdom.
How to apply: Open the project page on FindAPhD and follow the institution website link for full application details. Review the project information carefully and contact the supervisors or institution if you need clarification before applying.
Funding details
Funded PhD project for students worldwide. The post indicates a funded studentship but does not specify stipend amount, tuition coverage, or other financial details.
What's required
Applicants should be interested in peptide drug discovery, antibody-mimetic design, machine learning, molecular dynamics, and automated experimental workflows. The project is suitable for students with backgrounds or strong interest in biological sciences, cell biology, molecular biology, or computer science. No specific GPA, language test, or degree requirement is stated in the post.
How to apply
Visit the FindAPhD project page and follow the institution website link to learn more about the studentship and application process. Check the project page for any further instructions or contact details before applying.
More information can be found here
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