|Salary:||£34,733 to £40,797 per annum, inclusive of London Allowance.|
|Placed On:||27th September 2021|
|Closes:||26th October 2021|
About the Role
This is a Knowledge Transfer Partnership project between the Multimedia and Vision (MMV) research group in EECS and RT Software. The aim of the project is to develop a content-aware sports video analytics component based on machine learning technology. The successful candidate will receive extensive practical and formal training, gain marketable skills, and will broaden their knowledge and expertise within an industrially relevant project. The post will be split between the RT Software premises in Hurlingham Business Park and Queen Mary University of London.
A PhD degree in Computer Science, Electronic Engineering or related subject is essential along with strong communication skills, both written and verbal. The ability to work both independently and as part of a team within a multidisciplinary research team is required. You will demonstrate strong competency in a range of Machine Learning techniques and should have experience of working in Computer Vision, with expertise and experience in deep learning applied to video processing. Experience in sport graphics developments and knowledge of broadcasting environments, specifically for sport broadcasting, would be an advantage.
About the School of EECS
This post sits within the School of Electrical Engineering and Computer Science (EECS), which is an exciting and dynamic environment with a reputation for excellence in both research and teaching. We are well known for our pioneering research and pride ourselves on our world-class projects. We are 11th in the UK for quality of computer science research (REF 2014) and 6th in the UK for quality of electronic engineering research (REF 2014). Our academics undertake world-leading research in a lively and supportive research community
We offer competitive salaries, access to a generous pension scheme, 30 days’ leave per annum (pro-rata for part-time/fixed-term), a season ticket loan scheme, staff networks and access to a comprehensive range of personal and professional development opportunities. In addition, we offer a range of work life balance and family friendly, inclusive employment policies, flexible working arrangements, and campus facilities including an on-site nursery at the Mile End campus.
The post is based at RT Software and the Mile End Campus in London. It is full time (35 hours per week), fixed term appointment for 24 months, with an expected start date of November 2021. The starting salary will be Grade 4, in the range of £34,733 - £40,797 per annum, inclusive of London Allowance.
Queen Mary’s commitment to our diverse and inclusive community is embedded in our appointments processes. Reasonable adjustments will be made at each stage of the recruitment process for any candidate with a disability. We are open to considering applications from candidates wishing to work flexibly.
Informal enquiries should be addressed to email@example.com
To apply for the role, please click the ‘apply’ button.
The closing date for applications is 26th October 2021.
Interviews are expected to be held shortly thereafter.
Valuing Diversity & Committed to Equality
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