Announcement of new EPSRC Centre for Doctoral Training in Health Data Science
A new Centre for Doctoral Training has been announced, and the Department of Engineering Science is proud to be one of the key partners.
The Engineering and Physical Sciences Research Council (EPSRC) has funded a new Centre for Doctoral Training (CDT) in Health Data Science at Oxford. The Centre will be located within the University's Big Data Institute, and will play a leading role in training the next generation of health data scientists.
The training programme will be led by the University’s Department of Computer Science, with strong engagement from the Departments of Statistics, Engineering Science, Medicine, and Population Health, together with the Wellcome Centre for Ethics and Humanities (WEH). The students will be able to work with a wide range of partner organisations, including: Oxford University Hospitals NHS Trust, Microsoft, IBM, NVIDIA, McLaren, Celgene, Sensyne Health, GSK, Vertex Pharmaceuticals, In Silico Science, Elsevier, Zegami, UCB, Perspectum, the CR UK Oxford Cancer Centre, University College Blockchain Centre, MedaPhor, and the Li Ka Shing Foundation.
The Director of the Centre, Jim Davies, said “thanks to the EPSRC and the BDI, we are able to deliver research training at the heart of the University’s medical campus, producing the data scientists we need to help transform health research and healthcare delivery”.
Co-direction for the Centre will come from Thomas Nichols (Population Health, Statistics), Jens Rittscher (Engineering Science), and Nina Hallowell (WEH). The training programme has a strong emphasis upon collaborative, ethical working in a multi-disciplinary environment.
The Centre is one of 75 announced today at the London Stock Exchange by UK Research and Innovation, formed to address the need to develop the skills needed for UK prosperity. £446 million is being invested for skills development across the UK as part of this programme, with industry partners contributing a further £386 million cash or in-kind.
For further information about the CDT in Health Data Science, please email email@example.com.