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PhD Studentshp: Algorithmic Fairness (Reinforcement Learning)

University of Sussex

Qualification Type: PhD
Location: Brighton
Funding for: UK Students, EU Students, International Students
Funding amount: £16,062 per year for 4 years
Hours: Full Time
Placed On: 30th June 2022
Closes: 28th September 2022

What you get

You will receive a tax free stipend at a standard rate of £16,062 per year for 4 years. In addition, you will receive a Research Training Support Grant of £2,000 for 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 22nd in the UK based on its overall GPA.   

The WeArePAL laboratory (https://wearepal.ai/) at the Department of Informatics was co-founded by Novi Quadrianto and Jeremy Reffin in 2017. Members of the laboratory undertake high quality research and publish in top machine learning, computer vision, and artificial intelligence conferences/journals including NeurIPS, ICML, CVPR, ICCV/ECCV, AAAI, JMLR, and TPAMI. The laboratory also creates significant impact by providing support, technology, and highly-trained specialists 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, sports and beach activities. The South Downs provide breathtaking views, tranquil walks and plenty of opportunities for mountain biking, hiking or picnics.  

Eligibility

The studentship is available to: UK / EU / Overseas

Eligible applicants will have recently received a good Masters qualification and/or a first or high 2:1 undergraduate in a relevant subject or have substantial recent experience 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

Please contact PhD.Informatics@sussex.ac.uk for any administrative queries. Please contact 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. 

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