Location: | Bath |
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Salary: | £38,249 to £45,413 |
Hours: | Full Time |
Contract Type: | Permanent |
Placed On: | 13th June 2025 |
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Closes: | 20th July 2025 |
Job Ref: | KW12780 |
Are you passionate about developing cutting-edge software solutions that accelerate groundbreaking research? Join our newly established Research Software Engineering Facility and help shape the future of computational research at the University of Bath.
As a Research Software Engineer, you'll collaborate with researchers across all disciplines to create, improve and maintain software solutions that elevate research capabilities. You'll be part of a dynamic team within our Core Research Facilities, working at the forefront of digital research infrastructure to support everything from AI and machine learning to high-performance computing applications.
About us:
The University of Bath ranks 6th in Guardian University Guide 2021. Our campus is surrounded by beautiful countryside, and the City of Bath with its historic charm and social activity only a short distance away creates an excellent environment in which to work. We are an equal opportunities employer and have a vibrant multinational community with staff from over 60 countries.
About the role:
As part of our newly formed Research Software Engineering Facility (established May 2025) you will:
About you:
We’re looking for someone with:
You'll have a graduate degree with significant computational experience or equivalent professional software development background. With demonstrated expertise in multiple programming languages (such as Python, C, C++, R, Fortran, Julia), you'll bring knowledge of agile methodologies, version control, and software engineering best practices.
Essential to your success will be excellent communication skills with a range of stakeholders, and the ability to rapidly acquire new programming languages and technologies. You'll have experience leading complex technical projects and mentoring other programmers, with a commitment to promoting good software development practices across research communities.
Experience in areas such as machine learning, data analysis with large datasets, high-performance computing, and digital architecture optimisation would be particularly valuable.
Additional information
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