Nuffield Department of Clinical Neurosciences (NDCN), MRC Brain Network Dynamics Unit, Mansfield Road, Oxford
Research Grade 7: £38,674 - £46,913 per annum.
A less experienced candidate may be appointed at Research Grade 6 (£34,982 – £40,855 per annum), with a commensurate adjustment in either the essential criteria, responsibilities or duties.
The post holder will develop computational models of learning processes in cortical networks. The research will employ mathematical modelling and computer simulation to identify synaptic plasticity rules which enable effective learning in large and deep networks and is consistent with biological data on learning in the cortex. In particular, the research will focus on evaluating and extending a theory proposed by Urbanczik & Senn (2014, Neuron) suggesting that plasticity is driven by prediction errors generated within neurons when the activity in dendrites does not match the activity in the soma.
The post holder will work as a part of an interdisciplinary team including experimental neuroscientists studying learning in brain networks in Oxford, as well as other theoretical neuroscientists modelling learning processes in Oxford and Imperial College London. The post holder will also be a member of a research group of Professor Rafal Bogacz, and based in the MRC Brain Network Dynamics Unit, which includes an interdisciplinary community of neurobiologists, engineers and computational scientists.
Please see the 'Job Description' linked from the recruitment page for further details on the responsibilities and selection criteria, as well as further information about the University and how to apply.
The post is full time for a fixed term of 2 years in the first instance, with an initial probationary period, to start on or after 1st October 2025, with latest end date 30th September 2028.
Only applications received before 12.00 midday on Monday 1st September 2025 will be considered. Please apply through the University of Oxford recruitment system.
Interviews will be held as soon as possible thereafter.
