Gorka Lasso

University College London is advertising a fully funded 3-year PhD studentship in the Institute of Infection, Immunity and Transplantation for a project titled AI and Structural Bioinformatics for Predicting Pathogen-Host Protein Interactions . This opportunity sits at the intersection of computational biology , structural biology , machine learning , AI , and infectious disease research . The project aims to develop next-generation computational methods to identify pathogen-host protein-protein interactions by integrating machine learning, structural bioinformatics, and large-scale biological data analysis. The successful PhD candidate will work in a collaborative and supportive multidisciplinary environment at UCL and receive training in AI , machine learning , structural bioinformatics , scientific programming , and high-performance computing . Eligibility highlights: applicants must meet UK Home fee status requirements and should have, or expect to obtain, a First or Upper Second-Class (2:1) Bachelor's and/or Master's degree in a relevant subject. Programming experience in Python or a similar language and familiarity with Linux/Unix are highly desirable; experience in machine learning/AI is an advantage. Funding: the studentship is fully funded for 3 years, with a non-taxable annual stipend of £24,643 and Home-rate tuition fees covered . Deadline: 12 July 2026. How to apply: use the application link provided in the post and follow the UCL job page instructions. Informal enquiries may be directed to Gorka Lasso .