University of Leeds
Research Software Engineer

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There are three full time roles available.
The interviews are expected to be held on the 4th and 5th November 2026.
This role will be based on the university campus with scope for it to be undertaken in a hybrid manner. We are also open to discussing flexible working arrangements.
Are you passionate about pushing the boundaries of research and innovation through technology? Do you have a background in research computing? Do you want to further your career in one of the UK’s leading research-intensive Universities?
The University of Leeds is one of the top 100 universities in the world and one of the top 35 most international universities in the world. We have a truly global community, with more than 30,000 students from 170 different countries and over 9,000 staff of 100 different nationalities.
The Research Computing team at the University of Leeds is a cornerstone of the university’s research efforts, designing, building and supporting innovative solutions to research problems and supporting our research community across a range of domains including Artificial Intelligence, Bioinformatics, Computational Fluid Dynamics, Digital Humanities, Data Science, and other data- and compute-intensive research areas. We work collaboratively across the University to support reproducible, sustainable, and effective digital research practices, including close collaboration with Research Infrastructure Engineering, Library, and specialist digital research support teams.
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I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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As a Research Software Engineer, you will contribute to the development and support of research software, workflows, and computational approaches, while also helping researchers make effective use of institutional and national research computing infrastructure, including HPC and related platforms. The role combines technical delivery, collaborative problem-solving, user support, training, and community engagement across a diverse portfolio of research and service activities.
You will join a collaborative and growing team that values sustainable research practices, knowledge sharing, inclusive professional culture, and continuous learning. The team actively contributes to local, national, and international research software engineering and digital research communities, including workshops, internships, conferences, and collaborative initiatives that help strengthen digital research capability across the sector.
This role offers an exciting opportunity to contribute to a vibrant research environment while developing expertise across a broad range of digital research technologies, practices, and disciplines.


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Please note that this post may be suitable for sponsorship under the Skilled Worker visa route but first-time applicants might need to qualify for salary concessions. For more information please visit: www.gov.uk/skilled-worker-visa
What We Offer In Return
- 26 days holiday plus approx.16 Bank Holidays/days that the University is closed by custom (including Christmas) – That’s 42 days a year!
- Generous pension scheme options plus life assurance
- Health and Wellbeing: Discounted staff membership options at The Edge, our state-of-the-art Campus gym, with a pool, sauna, climbing wall, cycle circuit, and sports halls.
- Personal Development: Access to courses run by our Organisational Development & Professional Learning team.
- Access to on-site childcare, shopping discounts and travel schemes are also available.
And much more!
To explore the post further or for any queries you may have, please contact:
Sorrel Harriet, Lead Research Software Engineer
Email: S.Harriet@leeds.ac.uk
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