Department of Computer Science and Technology, West Cambridge
Fixed-term: The funds for this post are available until 31 January 2025.
Would you like to help build the University of Cambridge's AI for science community and help NHS in assisting medical diagnosis and treatments?
The Accelerate Programme for Scientific Discovery is a high-profile Cambridge University initiative promoting the use of machine learning to tackle major scientific challenges, based at the Department of Computer Science and Technology https://www.cst.cam.ac.uk
Working across disciplines within the University, Accelerate is advancing research at the interface of artificial intelligence (AI) and science and society, providing training in data science for science and society, and building a community of research and practice.
We are looking for a Research Associate to join our team, working on an interdisciplinary AI for healthcare project exploring the interfaces that can facilitate effective interactions between health sciences and AI. This project could explore different aspects of health data to develop models and predict important outcomes to support healthcare sector. Project partners include the Centre for Integrative Neuroscience Discovery (CIND) at Department of Neuroscience and the Centre for Advanced Photonics and Electronics (CAPE) and Bioelectronics lab at the Department of Engineering at University of Cambridge, Royal Papworth hospital, Alan Turing Institute, and Haleon, who provide guidance, support and opportunities for the project members to seek training and collaborations to widen expertise knowledge.