Not specified
No deadline
United Kingdom
individual
About This Opportunity
This PhD project is based in the Department of Chemical Engineering at Imperial College London. It focuses on developing innovative AI methods to design therapeutic-grade antibody and protein sequences. The research explores foundation models, multi-objective optimisation, active learning, and interpretable machine learning. Successful candidates will work in a collaborative, interdisciplinary lab environment with access to experimental datasets and modern ML frameworks. The position offers mentoring and opportunities to publish tools and datasets, providing excellent training for those interested in the intersection of artificial intelligence, computational biology, and therapeutic design.
Who Can Apply
- Region
- United Kingdom
- Project in
- United Kingdom
- Applicants
- individual
Application Details
Stages
- 1 single_stage
Additional benefits
- mentorship
- training
External Application
This opportunity requires you to apply directly on the funder's website.
Apply on External SiteAI-Extracted Data
This opportunity was automatically extracted from an external source using AI. Details such as amounts, deadlines, and eligibility may be incomplete or inaccurate.
Always verify on the official sourceKey Information
- Award Amount
- Not specified
- Application Deadline
- No deadline
Similar Funding Opportunities
Engineering Single-Domain Antibodies
Great matchThis is a fully funded PhD studentship based in the Department of Chemical Engineering at Imperial C...
PhD studentship in Multimodal Representation Learning
Great matchApplications are invited for a PhD studentship in the field of Multimodal Representation Learning in...
PhD studentship - Multimodal Representation Learning in Biological Data 2025/26
Great matchThis PhD studentship is in the field of Multimodal Representation Learning in Biological Data, joint...
Genome Data Science and AI for Therapeutic Target Discovery - King's Prize Doctoral Programme
Great matchThis fully funded 4-year doctoral studentship programme aims to train next generation researchers to...