Queen Mary University of London is offering a fully funded PhD position in the field of computational bioengineering, specifically focused on developing a multi-physics computational model of cancer dormancy in bone. The project, supervised by Dr. Claire Villette, aims to advance understanding of how the bone microenvironment influences cancer cell dormancy and proliferation, with the ultimate goal of supporting the design of new therapeutic interventions against bone metastases. The research will build on a preliminary agent-based model of metastatic bone remodelling, introducing immuno-modulation and its interactions with mechanical loading. The successful candidate will combine numerical representations of cell population dynamics, cellular cross-talk, and mechanical load transfer, and will use in-vitro experiments to inform model calibration. The project scope is flexible and can be refined based on the candidate’s interests and suggestions. Applicants should have a strong background in Bioengineering, Biomedical Engineering, Mechanical Engineering, Computing, Applied Mathematics, or related disciplines. Experience in computational modelling or coding is required, and prior experience in cell culture is advantageous but not essential, as training will be provided. Candidates must hold at least a 2(i) honours degree or equivalent, or an MSc/MRes in a relevant field. For non-native English speakers, an IELTS score of 6.5+ overall (minimum 6.0 in each component) is required. This studentship is funded by EPSRC and is available only to UK home students. It covers a standard UKRI stipend with London weighting for 3.5 years. The application deadline is 17 February 2026, with a start date in September 2026 (Semester 1). Applicants should apply to the PhD FT Medical Engineering full-time programme at Queen Mary University of London and quote reference 'SEMS-PHD-707' in their application. For more information, visit the project and lab websites or contact Dr. Claire Villette for informal enquiries. Keywords: Computational Modelling, Cancer Dormancy, Bone Metastasis, Bioengineering, Biomedical Engineering, Mathematical Modelling, Biomechanics, Tissue Engineering, Immunology, Computational Physics.