Machine Learning and Computer Vision

6 PhD Studentships in Machine Learning and Computer Vision (2020)

6 fully funded PhD studentships in Machine Learning and Computer Vision at the Predictive Analytics Lab, Department of Informatics, University of Sussex, UK.

Type of award

Postgraduate Research

PhD project

Project: BayesianGDPR ("Bayesian Models and Algorithms for Fairness and Transparency"), ERC Starting Grant (2020-2025)

Application deadline: There is no fixed deadline, applications will be considered until all positions are filled. 

Job description:

There are several open positions for PhD students in the scope of the ERC project BayesianGDPR ("Bayesian Models and Algorithms for Fairness and Transparency"). It 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 project will focus on Bayesian methods and their "deep" extension. Three research directions are:

  1. Fairness under uncertainty in a static setting. Developing a machine learning framework for addressing fairness in classification problems and beyond, and under uncertainty about data, models, and predictions about future data.
  2. Fairness under uncertainty in a dynamic setting. Extending the framework to a setting where data points arrive over time, and models have to be dynamically updated when taking general feedback.
  3. Transparency in fairness. Ensuring a human could understand how non-discrimination is defined and achieved by using, among others, uncertainty estimates for building interpretable models and/or explicitly explaining about changes being made to the models to enforce non-discriminatory principles. 

 

The specific roles assigned to the project members will take into account their research interests and their background.

 

The PhD is a 4-year position, open for EU/UK and international students. Students interested in this topic will be supervised by Novi Quadrianto (http://www.sussex.ac.uk/profiles/335583). Potential co-supervisors include Viktoriia Sharmanska (https://www.imperial.ac.uk/people/sharmanska.v), Ivor Simpson (http://www.sussex.ac.uk/profiles/504012), and Jeremy Reffin (http://www.sussex.ac.uk/profiles/78802). You are welcome to indicate your preferred choice of co-supervisor.

 

If interested in any of these positions, please send an email with your CV to n.quadrianto AT sussex.ac.uk. Feel free to contact me for any further information.

 

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. Its researchers work in an environment that was deemed to be wholly 4*/3* (world-leading/ internationally excellent) in the REF 2014. The department is currently hosting 4 ERC grants.

 

The PAL laboratory (https://predictive-analytics-lab.github.io) 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. The PAL group is growing in size and currently consists of 12 team members, consisting of faculty, researchers and research students.

 

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.

Amount

£15,009 stipend, plus full fees.

You will receive a tax free stipend at a standard rate of £15,009 per year for four years. In addition, your fees will be waived for four years (at the UK/EU rate).

Eligibility

Entry requirements: https://www.sussex.ac.uk/study/phd/apply

 

Number of scholarships available

Six

Deadline

1 May 2020 10:06 (GMT)

How to apply

 Apply online for a full time PhD in Informatics (SEP2020) 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 a 'Studentship in Machine Learning and Computer Vision'. You are welcome to indicate your preferred choice of co-supervisor from the options listed above.

Contact us

If interested in any of these positions, please send an email with your CV to n.quadrianto AT sussex.ac.uk. Feel free to contact me for any further information.

Timetable

Application Deadline:

Applications will stay open until all positions are appointed.

Interview date:

Interviews will take place on a rolling basis.

Availability

At level(s):
PG (research)

Application deadline:
1 May 2020 10:06 (GMT)
the deadline has now expired

Countries

The award is available to people from these specific countries: