本期为大家推荐牛津大学、莫那什大学2026最新奖学金项目介绍。
牛津大学
DPhil studentship in clinical mass spectrometry and machine learning applied to the characterisation of brain tumours
University of Oxford | Department of Chemistry
博导: Prof Claire Vallance
截止时间：March 30, 2026周一
资助的博士项目（全球学生）
About the Project
Applications are invited for a DPhil studentship in clinical mass spectrometry, available from October 2026, to work under the supervision of Professor Claire Vallance in the Department of Chemistry at the University of Oxford.
The studentship will cover course fees at a Home rate and provide a stipend of no less than the standard UK Research Council rate (currently set at £20,780 p.a.) for four years.
Please note the eligibility criteria set out by the UKRI at: https://www.ukri.org/what-wedo/developing-people-and-skills/esrc/funding-for-postgraduate-training-anddevelopment/eligibility-for-studentship-funding/
Research in the Vallance group involves the application of atmospheric pressure and imaging mass spectrometry both to clinical medicine and to fundamental problems in chemical reaction dynamics. An overview of the group’s research can be found on our research group website at https://vallance.web.ox.ac.uk.
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, both based at Oxford’s John Radcliffe Hospital.
We have recently completed a pilot study investigating the use of atmospheric pressure ionisation mass spectrometry coupled with machine learning for differentiating between brain tumours and normal tissue. The project will extend this work to investigate the infiltration zone forming the boundary between the two types of tissue, with the eventual aim being to develop improved methods for defining the surgical boundary during tumour resection.
A number of other related research avenues may also be explored within the project.
Prof. Vallance can be contacted for further information: claire.vallance@chem.ox.ac.uk
Candidates with a first-class or strong upper second-class undergraduate degree in Chemistry, medical sciences, or a related subject are encouraged to apply. Previous experience in one or more of mass spectrometry, statistical data analysis, machine learning, and scientific programming would be useful, but not essential. The project will involve a mixture of experiments and data analysis, and applicants should feel confident in their ability to learn about and use new mathematical and machine learning tools as needed, even if these have not formed part of their prior studies. The candidate is expected to have a strong commitment to research and should have demonstrated the ability to learn new skills independently. The successful applicant will be based in the Chemistry Research Laboratory (CRL), Oxford, but will also spend significant time at the John Radcliffe hospital.
Candidates should submit a formal application for DPhil in Chemistry via the Oxford online application system:
- https://www.ox.ac.uk/admissions/graduate/application-guide
- https://www.ox.ac.uk/admissions/graduate/courses/dphil-chemistry
Please quote CV/Chem/2026 under ‘Departmental Studentship Applications’.
Application deadline: 12.00 noon UK time on 30th March 2026
Queries relating to the application and admission process should be directed to: graduate.admissions@chem.ox.ac.uk; tel.: +44 (0) 1865 272569.
The Department of Chemistry holds the Athena SWAN Silver Award and the Vallance group is dedicated to promoting diversity, equality and inclusion.
莫那什大学
Strongly correlated percolation models
Monash University | School of Mathematics
博导：Dr Stephen Muirhead
截止日期: March 19, 2026 周四
资助的博士项目（全球学生）
About the Project
Project description
Percolation theory is a branch of probability theory and statistical physics that deals with the large-scale connectivity properties of random disordered systems. For systems with a strong degree of independence at large scales, a rich theory has been developed starting from the 1960s. More recent highlights include the computation of the critical exponents of the model, and for two-dimensions systems, the proof of large-scale rotational invariance of the critical phase. For systems which have strong correlations, despite some predictions by physicists, the rigorous development of the corresponding theory is still in its infancy. The project aims to contribute to our understanding of percolation models with strong correlations. A major goal would be to compute or bound the critical exponents of these models, shedding light on physicists’ predictions.
Required skills and experience
- An Honours/Masters degree or equivalent in mathematics, with a research thesis component.
- Strong foundation in probability theory.
- Applicants for whom English is not their first language may be required to demonstrate their English language proficiency by obtaining an IELTS score of at least 6.5 overall, with a minimum of 6.0 in each component.
Expected start date:Before 1 September 2026.
Further information:
Enquiries and applications should be sent to Dr. Stephen Muirhead (Stephen.Muirhead@monash.edu).
https://stephenmuirhead.wordpress.com
Applications should include a cover letter, CV, academic transcript, and the details of two referees from whom recommendation letters may be requested. Applicants are encouraged to include a copy of their Honours/Masters thesis if applicable.
Further details on the School of Mathematics at Monash University and its graduate program can be found here:
https://www.monash.edu/science/schools/school-of-mathematics/postgraduate-research
Funding Notes
The position will be funded as part of the Australian Research Council Future Fellowship held by Dr. Stephen Muirhead.
For domestic students the position is fully funded, covering tuition fees and stipend.
For international students, the funding covers a stipend but not tuition fees. The successful applicant would be invited to apply for a Monash scholarship to cover the tuition fees.
