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Intelligent mining of a complex and large database of images and videos


Project Description

3-year full-time PhD
Eligibility: minimum Upper Second Honours degree in Computing or Mathematics
Expected start date: 15 May 2017
Interview date: 19 April 2017

This PhD opportunity is to study, explore and develop innovative methods from mining images and videos in a large repository.

The successful candidate will work in the field of computer vision and machine learning, with particular emphasis on deep learning methods.

The repository of images and videos is populated with scenes captured with fixed and body cameras. Research will be linked with the H2020 MONICA project, http://www.monica-project.eu (see also http://www.kingston.ac.uk/news/article/1786/09-feb-2017-kingston-university-secures-euro900000-grant-to-explore-how-drones-smart-wristbands-and-cameras-could-transform/).

In MONICA, the Robot Vision Team (RoViT) is engaged in providing expert and intelligent solutions to the monitoring of large and very busy public events, such as concerts and stadium matches. Image and video mining is one of the tasks RoViT is responsible for in MONICA.

The successful candidate will contribute to science and technology with algorithms in computer vision, machine and deep learning, for the automatic mining of images and videos collected in large and public events, such as those in MONICA.

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.

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) pbtained not more than 2 years before the start date of the studentship. 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/

How to apply:
Please send the following to with the email subject “Intelligent mining of images and videos “
• A completed application form - please request this by emailing
• Academic CV
• Copies of your academic certificates (degree level onwards)
• A covering letter stating why you consider you are suitable for the position (maximum 2 pages A4)
• A copy of your English language qualification, if applicable (see ‘English Language’ above)

Please ensure that all required documents are submitted together with your application as we are unable to consider incomplete applications.

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

Funding Notes

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

Annual stipend: £14,400

References

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

How good is research at Kingston University in Computer Science and Informatics?

FTE Category A staff submitted: 10.20

Research output data provided by the Research Excellence Framework (REF)

Click here to see the results for all UK universities

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