Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Assist in cutting-edge neuroimaging research and develop analysis methodologies for brain MRI.
- Company: Join the University of Nottingham's innovative research team at the Sir Peter Mansfield Imaging Centre.
- Benefits: Enjoy a hybrid working model, generous holidays, and a supportive work environment.
- Why this job: Make a real impact in neuroscience while developing your skills in a dynamic research setting.
- Qualifications: Undergraduate degree in a relevant field and programming skills in Python, C++, or Matlab.
- Other info: Opportunities for career progression and access to excellent staff benefits.
The predicted salary is between 28800 - 48000 £ per year.
Computer science » Database management
Computer science » Informatics
Computer science » Programming
Computer science » Other
Engineering » Biomedical engineering
Engineering » Electrical engineering
Engineering » Other
Medical sciences » Other
Neurosciences » Other
Organisation/Company University of Nottingham Research Field Computer science » Computer architecture Computer science » Database management Computer science » Informatics Computer science » Programming Computer science » Other Engineering » Biomedical engineering Engineering » Electrical engineering Engineering » Other Mathematics » Applied mathematics Medical sciences » Other Neurosciences » Other Physics » Biophysics Researcher Profile First Stage Researcher (R1) Country United Kingdom Application Deadline 23 Oct 2025 – 22:59 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No
Offer Description
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 (https://conilab.nottingham.ac.uk ), 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 27 (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 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 (36.25 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: 0115 8231027 Or email Stamatios.sotiropoulos@nottingham.ac.uk . Please note that applications sent directly to this email address will not be accepted.
#J-18808-Ljbffr
Research Assistant (Fixed Term) (MED252825) employer: Euraxess
Contact Detail:
Euraxess Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Assistant (Fixed Term) (MED252825)
✨Tip Number 1
Network like a pro! Reach out to current or former employees at the University of Nottingham, especially in the SPMIC. A friendly chat can give us insights into the team culture and maybe even a referral!
✨Tip Number 2
Prepare for the interview by diving deep into the research team's work. Familiarise yourself with their projects and methodologies. This shows us you're genuinely interested and ready to contribute from day one.
✨Tip Number 3
Showcase your skills! If you’ve got experience in Python, C++, or Matlab, be ready to discuss specific projects where you used these skills. We love seeing how you can apply your knowledge to real-world problems.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it gives you a chance to highlight your preferred working hours right from the start.
We think you need these skills to ace Research Assistant (Fixed Term) (MED252825)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Research Assistant. Highlight relevant skills in programming, neuroimaging, and any research experience you have. We want to see how your background fits with our team!
Craft a Compelling Cover Letter: Your cover letter should tell us why you're excited about this position and how your skills align with our research goals. Be genuine and let your passion for computational neuroimaging shine through!
Showcase Your Technical Skills: Since this role requires programming skills, be sure to mention your experience with Python, C++, or Matlab. If you've worked on relevant projects, include those details to give us a clear picture of your capabilities.
Apply Through Our Website: Don't forget to apply through our website! It’s the best way to ensure your application gets to us directly. Plus, it makes the process smoother for everyone involved.
How to prepare for a job interview at Euraxess
✨Know Your Stuff
Make sure you brush up on your knowledge of neuroimaging and the specific methodologies used in MRI analysis. Familiarise yourself with the latest research from the Sir Peter Mansfield Imaging Centre and be ready to discuss how your skills in programming (especially Python, C++, or Matlab) can contribute to their projects.
✨Showcase Your Experience
Prepare to talk about any relevant research experience you have, especially if it involves analysing or modelling neuroimaging data. Bring examples of your past work or projects that demonstrate your ability to conduct computer simulations and data analyses.
✨Ask Smart Questions
During the interview, don’t hesitate to ask insightful questions about the team’s current projects or future directions in neuroimaging technology. This shows your genuine interest in the role and helps you understand how you can fit into their research goals.
✨Be Yourself
Remember, they’re looking for someone who will fit well within their team. Be authentic and let your passion for neuroscience and computational research shine through. A friendly and approachable attitude can go a long way in making a positive impression!