This postdoctoral researcher position will focus on developing data-driven control approaches with applications to Biology. The post holder will be a member of the control group with responsibility for carrying out research for this problem using advanced methods from machine learning and optimisation, in particular Neural ODEs and Koopman Operator methods. The post holder will provide guidance to junior members of the research group including research assistants, PhD students, and/or project volunteers.
What we offer: At the University of Oxford, your happiness and wellbeing at work is important to us. We have a number of generous benefits including 38 days' annual leave (inclusive of bank holidays and fixed closure days), generous pension schemes and free access to the Oxford colleges. The other benefits include:
How to apply: Applications for this vacancy are to be made online via our e-recruitment system and should include the covering letter/supporting statement (describing how you meet the criteria), a CV, and names of two academic references. The position is a full-time fixed term post available for one year. The closing date for applications is 12.00 noon on Monday 01 June 2026. Informal enquiries may be addressed to Professor Antonis Papachristodoulou: antonis@eng.ox.ac.uk Further information can be found at http://www.eng.ox.ac.uk/jobs/home.
Applications are particularly welcome from women and black and minority ethnic candidates who are under-represented in academic posts in Oxford. The Department is committed to equality and valuing diversity and holds an Athena Swan Bronze award, highlighting its commitment to promoting gender equality in academia. The University is a Living Wage Employer, holds an Athena Swan Silver Award, an HR Excellence in Research and a Race Equality Charter Bronze Award and is a Stonewall Diversity Champion. Our staff and students come from all over the world, and we seek to create a friendly and inclusive culture. Diversity is positively encouraged, through our EDI Committee, working groups and networks, for example eng.ox.ac.uk/women-in-engineering, as well as a number of family friendly policies.
Tagged as: Life Sciences
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