School/department: School of Engineering and Informatics
Hours: full time Requests for flexible working options will be considered (subject to business need).
Contract: fixed term for 12 months, extensions possible
Salary: starting at £41,526 to £49,553 per annum
Placed on: 04 March 2020
Closing date: 05 May 2020. Applications must be received by midnight of the closing date.
Expected start date: ASAP
Applications are invited for a Research Fellow in Machine Learning (2 posts available) at the Predictive Analytics Lab (PAL) in the Department of Informatics at the University of Sussex. The duration of the position is originally for one or two years with the possibility of an extension. The position is part of the ERC funded project “Bayesian Models and Algorithms for Fairness and Transparency” (BayesianGDPR) – led by Dr 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. In particular, the project will focus on Bayesian methods and their “deep” extension. The successful candidate will develop and apply a range of techniques in variational inference, generative models, and reinforcement learning.
The successful applicant should have a PhD in machine learning in a field related to our research area such as approximate inference, reinforcement learning along with a good publication record in leading machine learning conferences (e.g. NeurIPS, ICML, ICLR). 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 Novi Quadrianto (N.Quadriantosussex.ac.uk).
How to apply
Download our academic post application form [DOC 301.50KB] and personal details and equal opportunities form [DOC 162.50KB] and fill in all sections.
Email your completed application, and personal details and equal opportunities form, to email@example.com
You should attach your application form and all documents to the email (don’t use a web-based upload/weblink service) and use the format job reference number / job title / your name in the subject line.
You can also send your application by post to Human Resources Division, Sussex House, University of Sussex, Falmer, Brighton, BN1 9RH.