The University of Oxford’s Department of Chemistry invites applications for a DPhil studentship in clinical mass spectrometry and machine learning, supervised by Professor Claire Vallance. This fully funded opportunity, sponsored by the Doogood Foundation, is available from October 2026 and offers course fees at the Home rate plus a stipend of at least £20,780 per annum for four years. The project is based in the Chemistry Research Laboratory (CRL) and involves close collaboration with consultant pathologist Olaf Ansorge and consultant neurosurgeon Puneet Plaha at Oxford’s John Radcliffe Hospital. The research focuses on the application of atmospheric pressure and imaging mass spectrometry to clinical medicine, specifically the characterisation of brain tumours. Building on a recent pilot study, the project aims to use atmospheric pressure ionisation mass spectrometry coupled with machine learning to differentiate between brain tumours and normal tissue. The next phase will investigate the infiltration zone at the boundary between tumour and healthy tissue, with the goal of developing improved methods for defining surgical boundaries during tumour resection. Additional related research avenues may also be explored, offering a broad scope for scientific inquiry. The Vallance group’s research integrates experimental work and advanced data analysis, leveraging machine learning and statistical techniques. Candidates will have the opportunity to work at the intersection of chemistry, medical science, and computational analysis, spending significant time both in the laboratory and at the hospital. The group is committed to diversity, equality, and inclusion, and holds the Athena SWAN Silver Award. Applicants should possess a first-class or strong upper second-class undergraduate degree in Chemistry, medical sciences, or a related subject. While prior experience in mass spectrometry, statistical data analysis, machine learning, or scientific programming is advantageous, it is not essential. The ideal candidate will demonstrate a strong commitment to research, the ability to learn new skills independently, and confidence in acquiring new mathematical and machine learning tools as needed. To apply, candidates must submit a formal application for the DPhil in Chemistry via the Oxford online application system, quoting CV/Chem/2026 under ‘Departmental Studentship Applications’. The application deadline is 12.00 noon UK time on 30th March 2026. For further information about the research group, visit the Vallance group website . For eligibility criteria, refer to the UKRI website . Queries regarding the application process can be directed to [email protected] . This studentship offers a unique opportunity to contribute to cutting-edge research at the interface of chemistry, medicine, and data science, with real-world impact on surgical practice and patient outcomes.

[Course fees at Home rate and stipend of £20,780 p.a. for four years, funded by Doogood Foundation.] This DPhil studentship at the University of Oxford offers an exciting opportunity to conduct research in clinical mass spectrometry and machine learning, focusing on the characterisation of brain tumours. The position is based in the Department of Chemistry and supervised by Professor Claire Vallance, whose group applies atmospheric pressure and imaging mass spectrometry to both clinical medicine and fundamental chemical reaction dynamics. The project is sponsored by the Doogood Foundation and will be carried out in close collaboration with consultant pathologist Olaf Ansorge and consultant neurosurgeon Puneet Plaha at Oxford’s John Radcliffe Hospital. Building on a successful pilot study, the research will extend the use of atmospheric pressure ionisation mass spectrometry coupled with machine learning to differentiate between brain tumours and normal tissue. The main aim is to investigate the infiltration zone forming the boundary between tumour and healthy tissue, ultimately developing improved methods for defining the surgical boundary during tumour resection. Additional related research avenues may also be explored, offering a broad scope for scientific inquiry. The successful applicant will be based in the Chemistry Research Laboratory (CRL) at Oxford, with significant time spent at the John Radcliffe Hospital. The studentship covers course fees at the Home rate and provides a stipend of £20,780 per annum for four years, matching the UK Research Council standard. The Department of Chemistry holds the Athena SWAN Silver Award and is committed to diversity, equality, and inclusion. Applicants should have a first-class or strong upper second-class undergraduate degree in Chemistry, medical sciences, or a related subject. Experience in mass spectrometry, statistical data analysis, machine learning, or scientific programming is advantageous but not essential. Candidates must demonstrate a strong commitment to research and the ability to learn new skills independently, including mathematical and machine learning tools. To apply, candidates should submit a formal application for the DPhil in Chemistry via the Oxford online application system, quoting CV/Chem/2026 under ‘Departmental Studentship Applications’. The application deadline is 12.00 noon UK time on 30th March 2026. For further information, contact Professor Claire Vallance at [email protected]. Queries about the application process can be directed to [email protected]. More details about the Vallance group’s research can be found at https://vallance.web.ox.ac.uk .