Research Fellow in Machine Learning and Antimicrobial Resistance

The successful candidate is expected to conduct research on machine learning tasks that relate to machine learning models to reduce the risk of AMR, particularly with respect to surveillance and stewardship. The post holder will have a strong theoretical knowledge of machine learning; experience of (time series) disease modelling would be beneficial but not essential. Actively engage with the research groups of both Prof. Cox and Wang; Publish research outcomes to either top-tier computer science conferences and/or interdisciplinary journals.

The UCL Ways of Working supports colleagues to be successful and happy at UCL through sharing expectations around how we work - please https://www.ucl.ac.uk/human-resources/policies-advice/ways-working to find out more. As well as the exciting opportunities this role presents, we also offer some great benefits some of which are below: * 41 Days holiday (27 days annual leave 8 bank holiday and 6 closure days) * Additional 5 days' annual leave purchase scheme * Defined benefit career average revalued earnings pension scheme (CARE) * Cycle to work scheme and season ticket loan * Immigration loan * Relocation scheme for certain posts * On-Site nursery * On-site gym * Enhanced maternity, paternity and adoption pay * Employee assistance programme: Staff Support Service * Discounted medical insurance Visit https://www.ucl.ac.uk/work-at-ucl/reward-and-benefits to find out more.

UCL's Department of Computer Science (CS) is a top-ranked Computer Science Department in the UK. In the 2021 Research Excellence Framework (REF) evaluation, UCL Computer Science was ranked second in the UK for research power and first in England. The EPSRC £5M Digital Health Hub for Antimicrobial Resistance (AMR) was established in 2013 and aims to combat AMR through both research and education. Its research focuses on digital health technologies for surveillance and stewardship to reduce the threat of AMR, As London's Global University, we know diversity fosters creativity and innovation, and we want our community to represent the diversity of the world's talent. We are committed to equality of opportunity, to being fair and inclusive, and to being a place where we all belong. We therefore particularly encourage applications from candidates who are likely to be underrepresented in UCL's workforce. These include people from Black, Asian and ethnic minority backgrounds; disabled people; and LGBTQI+ people. Our division holds an Athena SWAN Silver award, in recognition of our commitment to advancing gender equality. You can read more about our commitment to Equality, Diversity and Inclusion here: https://www.ucl.ac.uk/equality-diversity-inclusion