Postdoctoral research associate in data-driven modelling of collective cell behaviour

University of Oxford, Mathematical Institute | Oxford


We invite applications for an outstanding postdoctoral research associate in data-driven modelling of collective cell behaviour to work with Professor Ruth Baker at the Mathematical Institute, University of Oxford. This is a 36-month, fixed-term position, funded by the Simons Foundation. The start-date for this position is flexible, but September-November 2024 is preferred. The project will focus on combining theoretical and computational approaches (including machine learning) to understand fundamental aspects of collective cell behaviours. Examples of topics studied in the Baker group include collective migration driven by phenotypic heterogeneity, electrotaxis, fibrosis, and cell cycle regulation. The project will involve working closely with experimental collaborators of the Baker Group. The research undertaken in this role will be carried out under the Simons Foundation Grant “Simons Investigator Award” (MP-SIP-00001828). The postdoctoral researcher will be expected to conduct research both independently and collaboratively with other members of the group at Oxford and elsewhere. They are also expected to provide informal mentorship of doctoral students in the group. Candidates should have strong training in cross-disciplinary applied mathematics, with a demonstrated interest in biology, and experience in machine learning approaches is a plus. 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 BME candidates, who are currently under-represented in positions of this type within the department. Please direct informal enquiries to the Recruitment Coordinator (email:, quoting vacancy reference 171577. 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:

Last updated: 14 March 2024

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