The UCL Research Software Development Group, founded in 2012, was the first of its kind, and is one of the leading university-based research programming groups in the UK.
We work across college developing high-quality software in collaboration with scientists, engineers and scholars from all research domains.
Whether this means using Python to build up a database of ancient Sumerian writings, parallelising Fortran codes for surface catalysis simulations, adding red blood cells to a supercomputing simulation of brain blood-flow, refactoring DNA forensics code in R, or designing and building a big data image processing library in C++11 and Python, we do it all, bringing specialist programming expertise, modern development practices (CI, TDD, Agile…), and engineering rigour to academic software. We provide expert software engineering consulting services to world-leading research teams, and work with scientists and scholars to build software to meet new research challenges.
If the following describes you, then you should consider working with us:
- You have created and maintained software to address advanced research problems in one or more fields
- You can rapidly assimilate understanding of new scientific questions, and quickly connect research needs to software requirements
- You are committed to software development best practices, and know how to adapt these to research contexts
- You are expert in one or more languages and platforms used for scientific computing, and are keen to expand your knowledge.
Three research software developer posts are available. For more details check this advert. Three positions are available. These are permanent but subject to the availability of continued funding sourced from appropriate research collaborations, and are funded for two years in the first instance.
In addition, a senior research software developer post is available. The details are in this advert. This is a permanent position.
In addition, we will shortly be advertising a second senior position, to lead our new Data Science team, working closely with the UCL Centre for Data Science.