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Senior research fellow in advanced engineering analytics and decision modelling (part-time, fixed-term)

Research fellow
Posted: 14h ago
Offer description

Salary £46,049 to £58,225 per annum, pro rata (if applicable) depending on skills and experience. Closing Date Friday 19 June 2026 Reference ENG556326 We are seeking a Research Software Engineer / Computational Modelling Specialist with experience in power electronics to support the implementation of a structured assessment framework developed within the University. The framework integrates multiple project components into a unified system capable of analysing data, exploring uncertainty, and producing transparent, defensible outputs for research and decision-making. The role is primarily analytical and collaborative. The successful candidate will work closely with stakeholders across different project areas to understand how each component operates, what data are available, and what uncertainties or assumptions are associated with them. This may include engagement with partner organisations and short secondments where necessary to understand data sources and operational contexts. A key objective is to translate this understanding into a coherent computational workflow that enables consistent analysis and reporting. Software development is therefore an important enabling activity, but it follows from careful interpretation of the methodology and data. The role requires strong analytical thinking, structured problem-solving, and the ability to work across disciplinary boundaries. About the team- You will be joining a multidisciplinary team at the forefront of groundbreaking research as part of the £7 million EPSRC-funded programme grant Sustainable Multi-Sector Electrification Using Advanced Integrated Motor Drive Technologies. This ambitious initiative, led by the University of Nottingham in collaboration with the University of Bristol, Newcastle University, and over 20 industrial partners, brings together world-leading experts to drive innovation in advanced motor drive technologies. You will work alongside researchers and industry leaders to tackle real-world engineering challenges and contribute significantly to global sustainability goals. About You: We are looking for a highly skilled researcher with expertise in advanced engineering analytics, decision modeling, and systems development. You should bring experience managing complex, cutting-edge research projects and have a proven track record of collaboration with academic and industrial partners. Exceptional problem-solving skills, the ability to drive innovative solutions, and a passion for advancing sustainable technologies are essential to succeed in this role. What we offer- A hybrid working arrangement with the blended approach of home and office working 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. We are committed to staff development through the provision of training and continued support. 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 Attractive pension scheme Further information is available in the role profile. To apply for this vacancy please click 'Apply Now' to complete your details. Please submit your CV along with a brief statement (no more than 300 words) directly linking your experience to the essential criteria listed in the job description. This statement should focus on how your experience align with the core requirements of the role, not a traditional cover letter. Your working hours will be (20 hours per week). We may also consider job share arrangements. This is a fixed term contract for a duration of two years. Please contact Liliana De Lillo liliana.de_lillo@nottingham.ac.uk if you have further questions about this role. Please note that applications sent directly to this email address will not be accepted.

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