Research Fellow in Machine Learning

Hours: Full-time or part time hours considered up to a maximum of 1.0 FTE. Requests for flexible working  options will be considered (subject to business need).

Contract: The position is provided for one year. Extensions are possible.

Closing Date: 5th April 2023. Applications must be received by midnight of the closing date.

Expected Interview Date: As soon as possible

Expected Start Date: As soon as possible

Applications are invited for a Research Fellow in Machine Learning at the Predictive Analytics Lab (https://wearepal.ai/ ) in the Department of Informatics at the University of Sussex. The laboratory is currently supported by 3 active EU grants: BayesianGDPR (ERC), TANGO (EU Horizon), and Act.AI (ERC Proof of Concept). 

The position is part of the ERC funded project “Bayesian Models and Algorithms for Fairness and Transparency” (BayesianGDPR ) – led by Professor Novi Quadrianto . It involves the development of novel inference and computational methods towards the realisation of fair and transparent machine learning systems in static and dynamic settings. 

The successful applicant should have a PhD in machine learning in a field related to our research area such as causal learning, Bayesian networks, and statistical matching along with a good publication record in leading machine learning conferences. The salary offered will be appropriate to the qualifications, standing and experience of the successful candidate. 

Informal enquiries are welcome and can be made to Professor Novi Quadrianto ([email protected] ). 

The University is committed to equality and valuing diversity, and applications are particularly welcomed from women and black and minority ethnic candidates, who are under-represented in academic posts in Science, Technology, Engineering, Medicine and Mathematics (STEMM) at Sussex. 

“Please note that this position may be subject to ATAS clearance if you require visa sponsorship.” 

For full details and how to apply please click the 'Apply' button above.

The University requires that work undertaken for the University is performed from the UK. 

The University of Sussex values the diversity of its staff and students and we welcome applicants from all backgrounds.