PhD Studentship: Behaviour analysis of crowds from fixed and moving cameras

Kingston University - Computing and Mathematics

This PhD opportunity is to study, explore and develop innovative methods in the field of computer vision and machine learning for the automatic interpretation of complex surveillance/monitoring scenes captured with fixed, mobile (worn) and flying cameras (security drones). The program of study will be first and foremost on scientific and technical exploration of the problem, and it will be linked with a very large H2020 project (MONICA) where the Robot Vision Team is engaged in providing expert and intelligent solutions to the monitoring of a large and very busy area (concert event or stadium match, for instance). The successful candidate will have to contribute to science and technology with algorithms in computer vision, machine, manifold and deep learning, for the automatic interpretation of dynamics, actions, behaviours and interactions of people.

The candidate must have a very strong background in computer science, mathematics and statistics, must be capable of programming in a variety of programming languages. He or she needs to have obtained a high degree with excellent grades. Previous experience in image and/or video processing is preferred, although not strictly necessary.

For further details please contact the supervisory team:  

Professor Paolo Remagnino, Kingston University, UK. Email:  p.remagnino@kingston.ac.uk

Dr Vasileios Argyriou, Kingston University, UK. Email: Vasileios.Argyriou@kingston.ac.uk

Eligibility:  minimum Upper Second Honours degree in Computing or Mathematics

English Language: If you are not from an English speaking country, or have not studied at an English university before, you will need to show proof of internet-based IELTS 6.5 overall (or equivalent qualification). For IELTS, you need a minimum score 6.0 in Writing and 5.5 in all other elements. Please see these pages for further information http://www.kingston.ac.uk/international/studying-at-kingston/language-requirements/

Expected start date:   March 2017

How to apply:  Please send the following to secstudentships@kingston.ac.uk with the email subject “Behaviour Analysis of Crowds - ROVIT “

Fee level of sponsorship:   UK/EU fee level - international candidates will need to demonstrate that they can fund the difference in fees each year

  • Completed application form - request by emailing secstudentships@kingston.ac.uk
  • Academic CV
  • Copies of academic certificates (degree level onwards)
  • Covering letter stating why you consider you are suitable for the position (maximum 2 pages A4)
  • Copy of your English language qualification, if applicable (see ‘English Language’ above)

References do not need to be included with the application, but shortlisted applicants will need to arrange for these to be sent to us before interview. 

You should assume that your application has been unsuccessful if you have not heard from us by 4 weeks after the closing date.

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Type / Role:

PhD

Location(s):

London