Research Assistant (Fixed term)

University of Nottingham School of Humanities; University Park (FL); On-site; USD 42,000 - 47,000; Full time

Benefits offered by this job

Hybrid working arrangement

30 days holiday per year

Staff development opportunities

Job summary

The Sir Peter Mansfield Imaging Centre at the University of Nottingham invites applications for a Research Assistant in Mental Health and Clinical Neurosciences. You will join a team developing harmonisation strategies for MRI brain data using ON-Harmony to align smaller disease cohorts to UK Biobank scanners.

Applicants should have an undergraduate degree in a relevant field and programming skills in Python, C++, or MATLAB, with experience in MR image processing and statistics.

Qualifications

• Successful applicants will hold an undergraduate degree in a relevant domain.
• Skills in computer programming (Python, C++ or Matlab) and scientific computing are essential.
• Experience in MR image processing and statistical analysis would be desirable.

Responsibilities

• Develop methods for harmonising MRI data using ON-Harmony with UK Biobank cohorts.
• Collaborate within the computational neuroimaging group and with cross-disciplinary teams.
• Contribute to multi-modal MRI processing and data analysis efforts.

Skills

Analytical thinking

Team collaboration

Communication skills

Education

Undergraduate degree in a relevant domain (engineering, CS, neuroscience, physics, applied mathematics)

Tools

Python

C++

MATLAB

Job description

Area

Mental Health and Clinical Neurosciences

Area

Mental Health and Clinical Neurosciences

Location

University Park

Salary

£32,080 to £35,608 per annum, depending on skills and experience

Closing Date

Monday 05 October 2026

Reference

MED2412726

Applications are invited for a Research Assistant position in the Sir Peter Mansfield Imaging Centre (SPMIC), Mental Health and Clinical Neurosciences, School of Medicine at the University of Nottingham, UK. You will be a part of a team working towards novel harmonisation strategies for Magnetic Resonance Imaging (MRI) brain data. Specifically, you will use the lab’s recently developed ON-Harmony harmonisation resource to develop new methods for harmonising smaller and disease specific cohorts to the UK Biobank, making use of the recent extension to ON-Harmony to include UK Biobank scanners.

The successful applicant will be a member of the computational neuroimaging group (https://conilab.nottingham.ac.uk), under the supervision of Prof. Stam Sotiropoulos. The team have an established track record in developing computational neuroimaging technologies for mapping the brain at a systems level and are active developers of FSL tools (https://www.fmrib.ox.ac.uk/fsl). The role holder will further join the existing inter-disciplinary and vibrant environment team of the internationally-recognised Sir Peter Mansfield Imaging Centre (www.nottingham.ac.uk/magres) and expected to benefit from further collaboration opportunities with researchers within the Nottingham Biomedical Research Centre, the N3 Centre (Centre for Neurotechnology, Neuromodulation and Neurotherapeutics) and the Institute of Mental Health.

Successful applicants will be expected to hold an undergraduate degree in a relevant domain, such as engineering, computer science, neuroscience, physics, applied mathematics. Skills in computer programming (especially Python or C++ or Matlab) and scientific computing are essential; together with MR image processing skills. Experience in multi-modal MRI processing, MRI harmonisation and statistical analysis would be desirable.

The post is offered on a full-time basis (36.25 hours per week) with a fixed duration of 14 months. Employment could begin as early as 1st October 2026. Further information is available in the role profile.

What We Offer

• 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 30 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 Details

• Job Description/Role Profile

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Your application will be considered on an equal basis, subject to the relevant permission to work in the UK as set out by UK Visas & Immigration.