We invite applications for a Postdoctoral Research Associate to work with Professor Helen Byrne on an exciting new Cancer Research UK funded project, using mathematical and computational approaches to understand the impact of spatial heterogeneity on tumour growth and response to treatment. The position is available for 3 years and the post-holder will be based at the Mathematical Institute, University of Oxford.
The successful applicant will join a successful multi-disciplinary team of researchers at the University of Oxford’s Mathematical Institute and the Cancer Research UK Oxford Centre, with the ultimate aims of describing spatial heterogeneity within tumour tissue and understanding how it affects tumour growth and response to treatment. They will apply a range of methods from statistics, network science and/or topological data analysis to state-of-the-art multiplex immunohistochemistry images of cancer tissues to quantify structural features present in the imaging data which are difficult to discern visually. They will also use mathematical and computational modelling techniques via the group’s existing programming software, Chaste, to simulate tumour evolution and to compare different treatment strategies.
Applicants will be expected to have, or be close to completing, a PhD in mathematics, statistics or a related discipline. You will have prior experience of using methods from statistics, network science and/or topological data analysis to analyse and interpret high-dimensional data, and an ability to program in C++ or a similar language. Previous experience of image analysis, machine learning and multiscale modelling of biological systems is desirable.
We proudly hold a departmental Athena SWAN Silver Award and an institutional Race Equality Charter Bronze Award, which guide our progress towards advancing racial and gender equality. As part of our strategic aim to improve staff equality and diversity, we would particularly welcome applications from women and BAME candidates, who are currently under-represented in positions of this type within the department.
Please direct informal enquiries to the Recruitment Coordinator (email: @email), quoting vacancy reference 162602.
Applicants will be selected for interview purely based on their ability to satisfy the selection criteria as outlined in full in the job description. You will be required to upload a statement setting out how you meet the selection criteria, a curriculum vitae including full list of publications, a statement of research interests, and the contact details of two referees as part of your online application. (NOTE: Applicants are responsible for contacting their referees and making sure that their letters are received by the closing date).
Applications for this vacancy are to be made online. To apply for this vacancy and for further information, including a job description and selection criteria, please click on the link below:
Only applications received before 12.00 noon UK time on Tuesday 31 January 2023 can be considered.