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.
- Other info: Opportunities for career progression and access to excellent staff benefits.
- 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.
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-LjbffrResearch Assistant (Fixed Term) (MED252825) in Nottingham employer: Euraxess
The University of Nottingham is an exceptional employer, offering a vibrant and inclusive work culture that prioritises the well-being and professional growth of its staff. As a Research Assistant at the renowned Sir Peter Mansfield Imaging Centre, you will benefit from generous holiday entitlements, hybrid working arrangements, and a commitment to career development, all while contributing to groundbreaking research in neuroimaging technology. Join a supportive team dedicated to innovation and excellence in the heart of the UK.
StudySmarter Expert Advice🤫
We think this is how you could land Research Assistant (Fixed Term) (MED252825) in Nottingham
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We think you need these skills to ace Research Assistant (Fixed Term) (MED252825) in Nottingham
Some tips for your application 🫡
Highlight Your Research Experience:When applying for a full-time role in scientific research, make sure to emphasise your research experience prominently in your CV. Share specific projects you’ve worked on, the methodologies you used, and any significant findings. If you’ve published papers or presented at conferences, definitely include that too – it shows you’re on it in the academic world!
Tailor Your Cover Letter to the Research Area:Your cover letter should reflect your passion for the specific area of research at Euraxess. Mention relevant experiences that align with the organisation’s goals or projects. This shows that you’ve done your homework and are genuinely interested in the position – plus, it helps us see how you’d fit into the team dynamics.
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Discuss Your Future Research Goals:In your motivation section, it’s a great idea to talk about your future research goals and how they align with the work being done at Euraxess. This shows that you’re not just looking for any job, but rather a chance to contribute meaningfully to the field. We love to see applicants who are forward-thinking and enthusiastic about their research journey!
How to prepare for a job interview at Euraxess
✨Showcase Your Research Skills
In scientific research, it’s crucial to demonstrate your ability to design and conduct experiments. Come armed with examples of past projects where you've developed hypotheses, collected data, and analysed results. Be ready to discuss any specific methodologies or tools you’ve used, like PCR techniques or statistical software.
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