PhD Studentship: Ethical Machine Learning (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).
Type of award
£14,296 tax free stipend plus UK/EU fees waiver.
- 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)
The Scholarship includes a three year stipend at a standard rate (currently £14,553 per annum) and, in addition, fees at the UK/EU rate. Since the scholarship only covers fees at the UK/EU rate, overseas applicants are kindly requested to state in their application how they propose to cover the difference between UK/EU and overseas fees (for more details visit: http://www.sussex.ac.uk/study/phd/fees-and-scholarships).
Applications must be submitted via the University of Sussex Postgraduate Admissions System at http://www.sussex.ac.uk/study/phd/apply. Please select Informatics PhD as your programme of study and indicate Dr. Novi Quadrianto as your preferred supervisor. Clearly state the title of this Studentship on your applciation.
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.
Research webpages: http://www.sussex.ac.uk/informatics/research
Please email Dr. Novi Quadrianto (N.Quadrianto@sussex.ac.uk).
UK, Europe (Non-UK), International (Non-UK/EU)
21 September 2017