Florian Markowetz

This fully funded PhD position at the University of Cambridge, supervised by Professor Florian Markowetz, focuses on the development and application of computational tools for the early detection and deconstruction of chromosomal instability (CIN) in cancer. CIN is a key feature of many cancers, including breast, ovarian, and oesophageal, and is associated with poor prognosis, increased tumour heterogeneity, and resistance to treatment. The project aims to build on previous work in the Markowetz group, which includes developing computational methodologies to detect and analyze mutational processes linked to CIN, leveraging single-cell DNA sequencing to understand CIN heterogeneity, and implementing machine learning and AI models for imaging data. The successful candidate will develop new models for early detection of CIN cancers, apply advanced computational and machine learning approaches, and work towards improving patient survival and treatment outcomes. The project offers flexibility for the student to focus on either cancer genomics or early detection in imaging, with opportunities for cross-disciplinary research. Applicants should have strong analytical skills, motivation, and independence, with a background in computational biology, mathematics, computer science, or a relevant biological discipline with computational experience. Research experience through a Master's degree or laboratory work is highly valued. The position is open to both UK and international students. Funding is provided by Cancer Research UK Cambridge Institute, covering full university fees and an index-linked stipend starting at £22,500 per year for four years. The application deadline is 17th October 2025, with interviews expected in January 2026. Interested candidates should apply via the University Applicant Portal, selecting October 2026 as the start date. For more information about the research group and recent publications, visit the Markowetz group website.