Research/Senior Associate in Computer Vision for Human Activity Recognition and Analysis
Research Associate/Senior Research Associate in Computer Vision for Human Activity Recognition and Analysis (2 posts)
Job number ACAD102674
Merchant Venturers' School of Engineering
Open ended contract staff
Salary £32,004-£36,001 (Grade I), £36,001-£40,523 (Grade J
Closing date for applications 03-Dec-2017
Please Note: This is a “rolling advert” with a nominal close date only. Applications are welcome at any time and the timing of the selection process will be dependent on the applications received.
An interdisciplinary research collaboration (IRC) led by the University of Bristol together with the Universities of Southampton and Reading, was awarded a grant in 2013 by the Engineering and Physical Sciences Research Council (EPSRC) of around £12 million. They work in partnership with Bristol City Council, IBM, Toshiba and Knowle West Media Centre (KWMC).
The collaboration, known as SPHERE (Sensor Platform for HEalthcare in a Residential Environment), has been develop home sensor systems to monitor the health and wellbeing of the people living at home. Two RA posts are now available, beginning with immediate effect, and are 18-month appointments with some possibility of an extension.
The successful candidates will work together with a number of academic staff in a team to investigate algorithms and models for analyzing and understanding human activity and behaviour, gait and facial and emotion expression in cluttered and uncontrolled home environments. The research and software development will involve feature detection and tracking, deep learning techniques, statistical modelling and analysis, the use of one or more cameras, and many other relevant topics.
The posts involve close collaboration with other SPHERE project personnel – from other work packages within the project, including integration of other sensors, data fusion and data mining – as well as other project partners at other institutions. The right candidate will hold (or be currently in the completion stages of) a PhD degree in Computer Science or Electronic Engineering or a related discipline, in a field related (but not limited) to computer vision, machine learning, statistics or applied mathematics. Candidates should ideally also have experience in any one or more of the following: human, head, and facial component tracking; multi-camera analysis; object detection and recognition; action and event recognition.
As well as:
- have excellent C/C++/Matlab/Python programming and systems integration skills
- have a good publication record in computer vision and/or machine learning
- be able to conduct research independently
- possess good communication and writing skills in English
Both posts are being offered on open-ended contracts with funding up to 30th September 2018 in the first instance, with the potential for further extension.
For further details and application please contact: Informal enquiries can be made to Majid Mirmehdi email@example.com
The University is committed to creating and sustaining a fully inclusive culture. We welcome applicants from all backgrounds and communities.