PhD Studentship in Ethical Machine Learning

Location: Falmer, Brighton “London-by-Sea”, UK
Funding amount: £14,553 tax free stipend plus UK/EU tuition fees waiver
Start Date: 1st October 2017
A PhD position is available in the Predictive Analytics Lab (PAL) in the Department of Informatics at the University of Sussex. The PhD position is linked with an EPSRC funded project titled “EthicalML: Injecting Ethical and Legal Constraints into Machine Learning Models”. The long-term goal of the project is to develop a probabilistic machine learning framework with plug-and-play constraints that is able to handle fairness, transparency, and confidentiality constraints, their combinations, and also new constraints that might be stipulated in the future.
The successful candidate will engage in a number of exciting ongoing national and international research collaborations of PAL (e.g. with the Leverhulme Centre for the Future of Intelligence, universities in Cambridge, Sydney, Moscow, and Darmstadt) in the topics of privileged learning, Bayesian methods, and deep learning. In addition to undertaking high quality research and publishing in top machine learning conferences/journals including NIPS, ICML, JMLR, and TPAMI, the PAL group also creates significant impact by providing support, technology, and highly-trained specialists to a new generation of technology companies.
University of Sussex is a research intensive university, in the sunniest part of UK, 50min by train to Central London, and 30min by cycle to the Brighton Beach (which has a 300m long zip wire).
Requirements
• Good Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Physics or related disciplines (essential)
• Good programming skills in at least one of Python/R/Matlab/C++ (essential)
• Ability to work independently and be self-motivated (essential)
• Experience in machine learning (desirable)
Timetable
The studentship will be allocated as soon as a suitable candidate is found. Review of applications will commence on 10th September 2017 and will continue until the position is filled. Early application is advised.
Procedure
Applications must be submitted via the University of Sussex Postgraduate Admissions System at https://www.sussex.ac.uk/pgapplication/. Please select Informatics PhD as your programme of study and indicate Dr. Novi Quadrianto as your preferred supervisor.
For more information
Informal enquiries are welcome and can be made to Novi Quadrianto (http://www.sussex.ac.uk/profiles/335583).