Department of Computer Science and Technology

Fixed-term: The funds for this post are available for 4 years.

Artificial intelligence (AI) has the potential to become an engine for scientific discovery across disciplines - from predicting the impact of climate change, to using genetic data to create new healthcare treatments, and from finding new astronomical phenomena to identifying new materials here on Earth.

The Accelerate Programme for Scientific Discovery (website: https://acceleratescience.github.io/index.html) is a high-profile University initiative promoting the use of machine learning to tackle major scientific challenges. Working across disciplines and across the University, Accelerate will:

• 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 Senior Machine Learning Engineer (SMLE) to lead the development of our software culture.

https://www.jobs.cam.ac.uk/job/32686/