Senior Research Fellow in Advanced Engineering analytics and decision modelling (Part-Time, Fix[...]

University of Nottingham; Nottingham; Hybrid; GBP 46,049 - 58,225; Part time

Benefits offered by this job

Generous holiday entitlement of 30 days

Access to fitness and health facilities

Staff discounts and travel schemes

Attractive pension scheme

Job summary

The University of Nottingham is seeking a Research Software Engineer / Computational Modelling Specialist. This role focuses on power electronics and involves supporting the implementation of a structured assessment framework for research.

The successful candidate will collaborate with stakeholders, manage complex projects, and apply their skills in engineering analytics and decision modelling. A hybrid working model is offered along with a generous benefits package including 30 days of annual leave.

Qualifications

• Experience managing complex, cutting-edge research projects.
• Collaboration with academic and industrial partners.
• Innovative problem-solving in sustainable technology contexts.

Responsibilities

• Collaborate with stakeholders to understand system components.
• Engage with partner organisations to understand data sources.
• Translate stakeholder input into computational workflows.
• Develop software solutions and interpret methodology.
• Apply analytical thinking and structured problem-solving.

Skills

Advanced expertise in engineering analytics

Decision modelling

Systems development

Analytical skills

Interdisciplinary collaboration

Job description

Salary

£46,049 to £58,225 per annum, pro rata (if applicable) depending on skills and experience.

Location

Jubilee Campus

Closing Date

Friday 19 June 2026

Reference

ENG556326

About This Role

We are seeking a Research Software Engineer / Computational Modelling Specialist with experience in power electronics to support the implementation of a structured assessment framework within the University. This 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.

Responsibilities

• Collaborate closely with stakeholders across project areas to understand system components, available data, and associated uncertainties or assumptions.
• Engage with partner organisations and, where necessary, undertake short secondments to understand data sources and operational contexts.
• Translate stakeholder input into a coherent computational workflow that enables consistent analysis and reporting.
• Develop software solutions as required, following rigorous interpretation of methodology and data.
• Apply strong analytical thinking, structured problem‑solving, and interdisciplinary collaboration skills to drive the project forward.

Qualifications

• Advanced expertise in engineering analytics, decision modelling, and systems development.
• Experience managing complex, cutting‑edge research projects with academic and industrial partners.
• Proven track record of collaboration and innovative problem‑solving in sustainable technology contexts.
• Strong analytical skills and ability to work across disciplinary boundaries.

Employment Details

Fixed‑term contract for two years, 20 hours per week (job share arrangements may be considered).

Benefits

• Hybrid working arrangement.
• Generous holiday entitlement of 30 days (or pro rata), plus standard bank holidays and university closure days.
• Staff development through training and continued support.
• Access to fitness and health facilities, staff discounts, travel schemes, and other rewards.
• Attractive pension scheme.

Equality, Diversity and Inclusion

Our university is inclusive and respectful of all cultures, ethnicities, and beliefs. We are a Disability Confident Employer (Level 2) and have achieved the Athena Swan Gold Award. All suitable candidates will be considered on an equal basis, subject to the relevant permission to work in the UK.