*** Apply before 26 October 2018 ***
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 investigate how the brain controls the trade-off between speed and accuracy of decisions. The goal of the proposed project is to analyse a rich dataset recorded from patients with Parkinson’s disease and control participants while they made decisions based on noisy and gradually presented information. During this experiment, local field potentials were recorded from the subthalamic nucleus of the patients via deep brain stimulation electrodes, and the cortical activity was recorded using MEG. The project will be co-supervised by Rafal Bogacz from Oxford, who has an expertise in computational models of decision making, and Vladimir Litvak from UCL, who is an expert in analysis of local field potentials and MEG data. We are happy for the postholder to be based either in Oxford or in London.
Candidates should have a promising track record in original research in their particular field. Candidates are expected to have advanced technical expertise in neurophysiological or behavioural data analysis and general expertise in computational neuroscience. They also need to be highly proficient in Matlab programming. They should provide evidence of designing and completing high quality research as part of a cohesive programme.
The successful applicant will possess PhD or equivalent qualification in a relevant area (e.g. computer science, neuroscience, engineering, mathematics, physics, psychology), have expertise in mathematical modelling and data analysis and proficiency in programming.
The post is full-time for a fixed-term of 1 year in the first instance starting April 2019.
There is a possibility to be based either at the FIL in London (https://www.fil.ion.ucl.ac.uk/) or BNDU in Oxford (https://www.mrcbndu.ox.ac.uk/). Please contact Vladimir Litvak (email@example.com) or Rafal Bogacz (firstname.lastname@example.org ) with any informal enquiries.
Only applications received before 12.00 midday on Friday 26 October 2018 will be considered. It is anticipated Interviews will be held soon after the closing date.
Contact Person : HR Officer
Vacancy ID : 136073
Contact Phone : 01865 234781
Contact Email : email@example.com