Department of Engineering

We are seeking a highly motivated Research Assistant/Associate in Machine Learning to join an interdisciplinary project at the University of Cambridge focused on machine-learning-guided antibiotic discovery. The successful candidate will work under the joint supervision of Professor José Miguel Hernández Lobato (Department of Engineering) and Professor Andres Floto (Heart & Lung Research Institute).

The position forms part of a collaborative research programme aiming to define and predict the "permissive chemical space" for antibiotics in the pathogen Klebsiella pneumoniae, integrating high-throughput experimental measurements with state-of-the-art machine learning and generative AI approaches. The project brings together expertise in microbiology, chemistry, genomics, and artificial intelligence to develop predictive models and computational tools that guide the design of new antibiotics. The postholder will contribute to the development of predictive and generative machine learning methods that translate experimental measurements of compound retention and metabolism in bacteria into scalable computational models for drug discovery.

https://www.cam.ac.uk/jobs/research-assistantassociate-in-machine-learning-fixed-term-nm49458