Research Software Engineer

The University of Edinburgh; City of Edinburgh; Hybrid; GBP 41,000 - 49,000; Full time

Job summary

A leading research university in the UK seeks a full-time candidate for an innovative software development role focused on Laue X-ray diffraction analysis. The successful applicant will utilize their expertise in Computer Science or Physics to translate academic research into practical solutions for materials science. The position is fixed-term for 2 years, offering a salary range of £41,064 to £48,822 per annum.

Qualifications

• Relevant post-graduate research experience required.
• Expertise in algorithm development and numerical methods essential.
• Proficiency in Python/C++ and scientific libraries necessary.

Responsibilities

• Develop groundbreaking software for Laue X-ray diffraction analysis.
• Translate academic expertise into scalable solutions for materials science.

Skills

Algorithm development

Numerical methods

High-performance computing

Python

C++

Scientific libraries (NumPy, SciPy)

Communication skills

Education

Degree in Computer Science, Physics, Materials Science, or Applied Mathematics

Tools

MATLAB

Job description

Full time: 35 hours per week

Fixed term: 2 years

The Opportunity:

This Innovate UK-funded Knowledge Transfer Partnership (KTP) bridges cutting-edge research with industrial innovation. You’ll work within PSEL’s team to develop groundbreaking software for Laue X-ray diffraction analysis, translating academic expertise from the University of Edinburgh and the University of Oxford's physics departments into scalable solutions for materials science.

This post is full-time (35 hours per week); however, we are open to considering part-time or flexible working patterns. We are also open to considering requests for hybrid working (on a non-contractual basis) that combines a mix of remote and regular on-campus working.

The salary for this post is £41,064 - £48,822 per annum.

This post is fixed term for 2 years.

Your skills and attributes for success:

• A degree in a relevant discipline (Computer Science, Physics, Materials Science, Applied Mathematics) with relevant post-graduate research experience
• Expertise in algorithm development, numerical methods, or high-performance computing.
• Proficiency required in Python/C++ and scientific libraries (e.g., NumPy, SciPy). MATLAB is also desirable.
• Bonus: Familiarity with X-ray diffraction/materials science.
• Strong communication skillsto bridge academia/industry.

£41,064 to £48,822 per annum (Grade 7)