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Job Opportunity: PhD Studentshp: Algorithmic Fairness (Reinforcement Learning):Job description:Qualification Type: PhD What you get You will receive atax freestipend at a standard rate of £16,062 per year for 4 years. In addition, you will receive a Research Training Support Grant of £2,000for the 4-year duration and your fees will be waived for 4 years up to the overseas rate.? PhD project Project: BayesianGDPR ("Bayesian Models and Algorithms for Fairness and Transparency"), European Research Council ERC Starting Grant?? A position for a PhD student in the scope of the ERC project BayesianGDPR ("Bayesian Models and Algorithms for Fairness and Transparency"). This project involves the development of novel inference and computational methods towards the realisation of fair and transparent machine learning and computer vision systems in static and dynamic settings. In particular, the studentship project will focus on Bayesian reinforcement learning and bandit.? ?Please discuss applications over email directly with n.quadrianto@sussex.ac.uk prior to applying. Note that we are not accepting applications for generic machine learning projects, they should be specifically related to the outlined area.?? Working Environment? The University of Sussex (http://www.sussex.ac.uk) is a leading research-?intensive university established in 1961. The Department of Informatics at Sussex is highly rated for its teaching and research. On the recent REF2021 assessment: 92.5% of research outputs in Informatics is ?world-leading? or ?internationally-excellent?, and Informatics is ranked 22ndin the UK located on its overall GPA.?? TheWeArePALlaboratory (https://wearepal.ai/) at the Department of Informatics was co-founded by NoviQuadriantoand JeremyReffinin 2017. Members of the laboratory undertake high quality research and publish in top machine learning, computer vision, and artificial intelligence conferences/journals includingNeurIPS, ICML, CVPR, ICCV/ECCV, AAAI, JMLR, and TPAMI. The laboratory also creates significant impact by providing support, technology, andhighly-trainedspecialists to a new generation of technology companies.?? Living Environment?? The city of Brighton & Hove has everything - sun, sea, brilliant clubs, great places to eat, fabulous shops, a truly cosmopolitan vibe and is located only 50min from central London. Located on the beach (only 30min by cycle from the University), Brighton boasts beautiful seaside views and beaches, boating,sportsand beach activities. The South Downs providebreathtakingviews, tranquilwalksand plenty of opportunities for mountain biking, hiking or picnics.? Eligibility The studentship is available to: UK / EU / Overseas . Eligible candidates will have recently received a good Masters qualification and/or a first or high 2:1 undergraduate in a significant subject or have substantial recent practice working in a related field. In addition to computer science, mathematics and physics, students with a background in economics are good fit as well.? How to apply Apply online for a full time PhD in Informatics using our step-by-step guide (http://www.sussex.ac.uk/study/phd/apply). Here you will also find details of our entry requirements. Please clearly state on your application form that you are applying for the BayesianGDPR Scholarship under the supervision of Dr Novi Quadrianto.? Contact us Contact Us by PhD.Informatics@sussex.ac.uk for any administrative queries. Contact Us by Dr Novi Quadrianto for any project related questions.? Timetable There is no set deadline for applications, all applications will be considered until the positions are filled. Start dates include January, May or September 2023 but later dates can be considered. Skills:
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