Company

University Of SussexSee more

addressAddressBrighton, East Sussex
type Form of work- Part-time, Full-time, Fixed term contract
salary Salary£45,585 - £54,395 a year
CategoryEducation

Job description

Location

Brighton, United Kingdom

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).

Salary

Research Fellow II, Starting at £45,585 to £54,395 per annum (pro rata for part-time working)

Contract Type

Fixed Term Contract
If you are experiencing any issues using our application portal or require additional support, please contact us on recruitmentadministration@sussex.ac.uk or call on 01273 873743

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.

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

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


Attachments


Closing Date

April 5, 2024 5:59 PM

Benefits

The benefits that you will receive from day one: Generous pension scheme, Purchase additional Annual Leave through our Scheme for a great home and work life balance,Discounts of public transport, Cycle to work Scheme, and special rates in hotels in Brighton and the Sussex region,Discounts on high-street shops through our Rewards partner, along with a Cash back Health Plan, Considerable discount on our on-site Gym Facilities because we care about our employees’ Health and Wellbeing.
Refer code: 3082388. University Of Sussex - The previous day - 2024-03-26 15:11

University Of Sussex

Brighton, East Sussex
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