Molecular Footprints of Amyloid Aggregation In Vivo University of Leeds in United Kingdom

This PhD project at the University of Leeds, under the Yorkshire Bioscience Doctoral Training Partnership (YBDTP), investigates the molecular mechanisms of amyloid aggregation in vivo, a process central to neurodegenerative diseases such as Alzheimer’s and Parkinson’s. Despite advances in understanding protein aggregation in vitro, the triggers and suppressors of aggregation within the complex cellular environment remain poorly understood. The project aims to uncover what cellular and patient-specific factors drive or contain amyloid aggregation, and which molecular species should be targeted for therapeutic intervention.

The research will employ advanced structural mass spectrometry (MS) and cryo-electron tomography (CryoET) to directly study amyloid processes in tissue. CryoET enables visualization of well-ordered structures like amyloid fibrils in their native cellular context, while MS provides detailed characterization of unstructured proteins, sequence variants, noncovalent interaction partners, and the micro-environment around fibrils, as well as soluble intermediates and molecular chaperones. The project also integrates computational modeling (molecular dynamics) and AI-based structural predictions in collaboration with the University of Nottingham, offering a transformative, interdisciplinary approach to understanding amyloid aggregation. Both in vitro assays and tissue samples will be used to structurally and functionally characterize aggregation intermediates, with the ultimate goal of identifying improved drug targets for neurodegenerative disease therapy.

The YBDTP provides a comprehensive doctoral training program, fostering interdisciplinary collaboration and equipping students with research and professional skills for bioscience careers. The studentship is fully funded for four years, covering a tax-free stipend, research costs, and tuition fees at the UK rate. Exceptional international applicants may be eligible for full studentships, though visa and health surcharge costs are not included.

Applicants should have at least an upper second-class honours degree in a relevant science or mathematics field and meet the University of Leeds entry requirements, including English language proficiency if required. The program values diversity and encourages applications from underrepresented groups. The application deadline is January 7, 2026, and shortlisted candidates will be invited for interview.

For more information, prospective students can contact Prof Frank Sobott or visit the provided research group and partnership websites.