About the fellowship - support available
Your application and research proposal must have the support of an Oxford faculty member in an MPLS department and confirmation from the department that they are ready and willing to host you. Please ensure you contact the department and their Research Facilitators well in advance of the closing date as there may be internal deadlines and processes that you will need to comply with.
The Fellowship programme is integrated within Oxford's Mathematical, Physical and Life Sciences Division (MPLS), which includes both the core AI departments of Computer Science, Engineering Science, Mathematics and Statistics, as well as the University's non-medical science departments; Physics, Chemistry, Materials, Earth Sciences, and Biology.
The research elements of the Fellowship programme take place within the stimulating intellectual environment of research groups embedded within the academic departments of MPLS. Beyond MPLS, the Fellows benefit greatly from the unparalleled breadth of research across Oxford. In particular, Fellows undertake learning on the social and ethical implications of AI, providing a grounding in issues on the motivations, governance, and security of the use of AI.
Our programme provides individualised training to each of the Oxford-based Schmidt AI in Science Fellows, through graduate-level courses and one-on-one tuition across AI and ML to allow each fellow to develop their knowledge of AI and software tools as their research programme unfolds.
Oxford also provides extensive training and support from professional research software engineers (RSEs) with expertise in ML and AI to allow fellows to implement both existing methods and any new methods that they develop in a robust, sustainable, and reusable manner. From the onset of the project, RSEs provide training in software engineering best practices, HPC and cloud computing resources, and collaborative tools including version control, enabling fellows to work individually or as a team to develop reproducible and reliable software. The aim is to provide fellows with a set of transferable software engineering skills and a significant advantage in their future careers.
Coral reef illustration for Dr Newport's research by Alicia Hayden