Research Fellow in Machine Learning
University of Sussex - Department of Informatics
| Location: | Sussex, Falmer |
|---|---|
| Salary: | Research Fellow II, starting at £45,585 to £54,395 per annum (pro rata for part-time working) |
| Hours: | Full Time, Part Time |
| Contract Type: | Fixed-Term/Contract |
| Placed On: | 15th March 2024 |
|---|---|
| Closes: | 5th April 2024 |
| Job Ref: | 30520 |
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 (N.Quadrianto@sussex.ac.uk).
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.
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