DEL PhD Studentship 2016/17: Deep and Intelligent Visual Scene Understanding
Queen's University Belfast - School of Electronics, Electrical Engineering and Computer Science
|Funding for:||UK Students, EU Students, International Students|
|Placed on:||30th September 2016|
|Closes:||12th December 2016|
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Proposed Project Title: Deep and Intelligent Visual Scene Understanding
Principal Supervisor: Prof. Neil Robertson
The aim is to develop new automatic computer vision and sensor management techniques that will intelligently and autonomously select both sensor and algorithms in response to what is in the environment.
Analytical scene understanding is required for many emerging applications in autonomous or assisted operation such as driving, safety, security and defence. Thales is a world leader in the research and development of data and image processing technologies for transportation, defence, security and space applications, and this project will build upon a significant capability established over many years. The system would need to respond to a cluttered urban environment and new emerging behaviours/threats on the move to offer human decision support. The project will build on and extend existing expertise in cognitive signal processing especially “deep” machine learning of multi-modal imagery and contextual image processing.
- The project will use data from multiple networked cameras using diverse imaging modalities such as 3-D and thermal imaging, non-imaging sensors such as radar and GPS, and meta-data such as digital maps.
- It will adapt and create image processing, data analysis and fusion methodologies to exploit this data.
- The project will produce demonstrations of scene analysis in urban and other data-rich environments.
A minimum 2.1 honours degree or equivalent in Computer Science or Electrical and Electronic Engineering or relevant degree is required.
This 3 year PhD studentship, potentially funded by the Department for Employment and Learning (DEL), commences on 1 January 2017 and is additionally supported by Thales.
Eligibility for both fees and maintenance (approximately £14,000) depends on the applicants being either an ordinary UK resident or those EU residents who have lived permanently in the UK for the 3 years immediately preceding the start of the studentship. Non UK residents who hold EU residency may also apply but if successful may receive fees only. There will be an industrial top-up to the stipend of approximately £7,000 p/a with additional generous support for travel (international and UK) and equipment. The successful applicant will be required to engage with Thales via extended visits/placements to sites in Belfast and Glasgow.
Applicants should apply electronically through the Queen’s online application portal at: https://dap.qub.ac.uk/portal/
Further information available at: http://www.qub.ac.uk/schools/eeecs/StudyattheSchool/PhDProgrammes
Supervisor Name: Professor Neil M. Robertson Tel: +44 (0)28 9097 1879
QUB Address: Queen’s University Belfast
Deadline for submission of applications is 9/12/2016
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