Cambridge Centre for Machine Learning Research Software Engineer
Institute of Astronomy
Fixed-term: The funds for this post are available for 5 years in the first instance.
The Institute of Astronomy (IoA) at Cambridge University is internationally renowned for its outstanding environment in data-intensive astronomy. The interdepartmental Kavli Institute for Cosmology, Cambridge (KICC) is co-located on the IoA site, fostering connections with other groups conducting complementary research across Cambridge. Machine learning is increasingly at the heart of leveraging enormous and complex astronomical data sets to solve major scientific challenges in our understanding of the Universe. The IoA, in collaboration with the University Research Computing Service and the University of Cambridge Open Zettascale Lab (COZL) [https://www.zettascale.hpc.cam.ac.uk] is investing in specialist research software engineering support to:
Provide researchers with specialised training in AI techniques, equipping them with the skills they need to use machine learning and AI to power their research.
Pursue an ambitious research agenda that applies machine learning to the scientific challenges of the 21st century.
Build a community of researchers working at the interface of machine learning and the sciences to share knowledge and experiences that help advance the use of machine learning in the sciences.
Software development is a highly valuable resource that includes modelling, simulation and data-analysis. Generating well-designed software will in turn increase the scope, productivity, reliability, replicability and therefore openness of research. In pursuit of these goals, we are seeking an experienced Research Software Engineer to lead the development of our software culture.