About the Project
There have been growing interests in making cameras smarter beyond their original purposes for footage capturing and monitoring, using techniques from Artificial Intelligence (AI). The aim of this project is to develop advanced AI technologies to augment cameras. Concretely, it will develop AI technologies that are capable of accurate and timely prediction of an observed individual’s intention and complex meta-reasoning with the acquired observations from distributed cameras. This project will take surveillance cameras in train stations as an application. Beyond detecting human and objects surrounding from video footage, their spatial and temporal relationships will be further exploited. Based on recognized passengers’ behaviours and intentions, optimization strategies will be established to improve passengers’ travel experience.
North East England’s universities are joining forces under a £3.9m scheme, funded by the European Regional Development Fund, to connect the region’s businesses with research to encourage growth & job creation. Teesside University is delighted to be able to offer a number of part funded industrial PhDs to eligible SMEs in the north east. This project is funded by the University & European Regional Development Funding & looks to support local firms with their research & development needs, developing new products & services in key sectors & creating high quality jobs in the local economy.
Entry Requirements
Applicants should hold or expect to obtain a relevant degree at 2.1 minimum, or an equivalent overseas degree in Computer Science or a closely related subject. Good programming skills are desired. Candidates with suitable work experience and strong capacity in artificial intelligence and machine learning are particularly welcome to apply.
International students would be subject to standard entry criteria including English language, ATAS clearance & Tier 4 procedures. Please contact the [Email Address Removed] for further information.
About Teesside University
The School of Computing, Media and the Arts at Teesside University conducts research on a wide range of topic areas including Computer Science, Artificial Intelligence, Software Engineering, Programming, Cyber-Physical Systems, Computer Games, Animation, Media and Fine Art. In REF 2014, 69.8% of our research outputs in Computer Science and Informatics was recognised as world-leading or internationally excellent. Fro more information: http://www.tees.ac.uk/sections/research/computing/about.cfm
About Cloudview
Cloudview provides a simple and reliable visual data solution, and enables organisations to consolidate their visual data, making it more accessible, accountable and secure. More information is available at http://www.cloudview.co/.
How to Apply
You can apply online for this opportunity; please use the PhD full time application form, and use ref: IIIP0006
Funding Notes
Applications are welcome from strong UK, EU and International students. The studentship covers tuition fees at the Home/EU rate for three years and provides an annual tax-free stipend of £15,000 p.a. for three years, subject to satisfactory progress. Non-EU International students will be required to pay the difference between the Home/EU and International fee rate.
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