Postdoctoral Researcher in Computational Neuroscience (Bogacz Group)
An exciting opportunity has become available at the MRC Brain Network Dynamics Unit at the University of Oxford (BNDU) for a Postdoctoral Researcher in Computational Neuroscience.
The successful applicant will develop computational models of the effects of neurostimulation in neurological and psychiatric disorders. The research will employ mathematical modelling and computer simulation to identify how the neurostimulation should be provided to optimize its efficacy and reduce side-effects. The post holder will be a member of the research group led by Professor Rafal Bogacz, and based in the MRC Brain Network Dynamics Unit, which includes an interdisciplinary community of engineers and scientists, designing and studying the effects of different forms of neurostimulation (such as deep brain stimulation, transcranial magnetic stimulation, peripheral stimulation, etc.). Hence, the proposed computational modelling work will be done in close collaboration with experimental neuroscientists and engineers.
Depending on the background and interests of the post holder, the models may be based on neural circuit models, dynamical systems theory, control theory, or machine learning. The analysis of the model may focus on the effect of stimulation on neural activity and/or synaptic plasticity in neurological and psychiatric disorders (e.g. Parkinson’s disease, essential tremor, Alzheimer’s disease, depression, etc.).
Candidates should have a promising track record in original research in their particular field. The successful applicant will possess Ph.D. or equivalent qualification in a relevant area (e.g. computer science, neuroscience, engineering, mathematics, physics, psychology). Candidates are expected to have advanced technical expertise in computational and mathematical modelling and general expertise in neurophysiological or behavioural data analysis. They also need to be highly proficient in programming. They should provide evidence of designing and completing high quality research as part of a cohesive programme.
The post is full-time for a fixed-term until 1st March 2025. The position will become available from October 2022.
Only applications received before 12.00 midday on Friday 16th September 2022 will be considered.
Applications must be made via the University of Oxford’s online recruitment system, using Vacancy ID 159167.
It is anticipated that interviews will be held soon after the closing date.