Research Assistant

Area

Mental Health and Clinical Neurosciences

Location

Jubilee Campus

Salary

£31,637 to £35,116 per annum pro-rata depending on skills and experience. Salary progression beyond this scale is subject to performance.

Closing Date

Thursday 23 October 2025

Reference

MED252825

An exciting opportunity has arisen for a research assistant in the Sir Peter Mansfield Imaging Centre (SPMIC) and Mental Health and Clinical Neurosciences, School of Medicine at the University of Nottingham, UK. Your role will be to assist and support the Computational Neuroimaging research team in carrying out academic research and developing neuroimage analysis methodology for brain Magnetic Resonance Imaging (MRI). You will work on in-silico biophysical modelling of neuronal tissue microstructure with the aim to link biophysical changes to changes in structural/functional MRI signals. You will be expected to conduct work which include computer simulations, software generation, literature searches, data analyses and drafting of reports.

You will join an established team, led by Prof. Stam Sotiropoulos ), whose main areas of research interest include the development of innovative neuroimaging technologies for mapping the brain at a systems level. The team has a track record in brain connectivity mapping using diffusion MRI, with a portfolio of research programmes, including funding from the European Research Council (ERC) that supports this position. They are part of the Sir Peter Mansfield Imaging Centre (SPMIC), birthplace of MRI and soon to be home of the ultra-high field (11.7T) UK national facility.

Successful applicants will be expected to hold an undergraduate degree in a relevant computational domain, such as engineering, physics, neuroscience, computer science, applied mathematics. Skills in computer programming (especially Python or C++ or Matlab) and scientific computing are essential. A Master's degree would be desirable, but not essential, along with research experience in building methods for analysing/modelling neuroimaging data.

The University of Nottingham provides generous employment packages whilst supporting the well-being of our staff to help them reach their full potential. As a university employee, you will have an excellent choice of benefits and rewards, including:

• A friendly, diverse, and supportive working environment
• A hybrid working arrangement with the blended approach of home and office working each week
• Generous holiday entitlement of days (or pro rata) plus standard bank holidays and five university closure days including closure between Christmas and New Year.
• Our reward scheme grants bonuses of numerous values for excellent work
• We are committed to staff development through the provision of training, continued support, and career progression opportunities
• You will have access to a range of benefits and rewards, including fitness and health facilities, staff discounts, travel schemes and many more. To find out more about what we can offer you, follow the link to our benefits website

Further information is available in the role profile. To apply for this vacancy please click 'Apply Now' to complete your details.

The post is offered on a full-time basis hours per week) or part-time basis (minimum 29 hours per week). Please specify your preferred hours in your application. The post is available from 5th January 2026 for six months (full-time) or seven months (part-time).

Requests for secondment from internal candidates may be considered on the basis that prior agreement has been sought from both your current line manager and the manager of your substantive post, if you are already undertaking a secondment role.

Informal enquiries may be addressed to Prof Stam Sotiropoulos, tel: Or email Please note that applications sent directly to this email address will not be accepted.