Skip to main content

This job has expired

Research Associate or Senior Research Associate in Video Monitoring - ‘‘SPHERE'' Project

Job Details

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 worked 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), developed home sensor systems to monitor the health and wellbeing of people living at home. In October 2018, the Sphere Next Steps project will enhance and extend the achievements of SPHERE and will primarily be focussed on the analysis of the health monitoring data captured at people’s home. For example, the data will include subjects recuperating from a variety of ailments. With one RA already in place, the Visual Monitoring workpackage in the project is seeking to employ a second RA for a period of 2 years.  

The successful candidate will work together with several academic staff and the existing RA in a team to investigate algorithms and models for analyzing and understanding human behaviour and 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 post involves close collaboration with other SPHERE project personnel – from other workpackages within the project, including integration of other sensors, data fusion and data mining.

 

Application 

The candidate should:

  • 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.
  • Ideally also have experience in any one or more of the following: human tracking; multi-camera analysis; action and event recognition; object detection and recognition
  • Have excellent C/C++/Matlab/Python programming and systems integration skills
  • Have a good publication record in computer vision and/or machine learning
  • Should be able to conduct research independently
  • Possess excellent speaking and writing skills in English. 

 

This position is offered on a full time, open-ended contract, with funding for up to 2 years in the first instance, with the potential for a further extension. 

For further details and application please contact:

Prof. Majid Mirmehdi - Email: m.mirmehdi@bristol.ac.uk

 

The University is committed to creating and sustaining a fully inclusive culture.  We welcome applicants from all backgrounds and communities.

Company

Global Academy Jobs works with over 250 universities worldwide to promote academic mobility and international research collaboration. Global problems need international solutions. Our jobs board and emails reach the academics and researchers who can help.

"The globalisation of higher education continues apace, driving in turn the ongoing development of the global knowledge economy, striving for solutions to the world’s problems and educating a next generation of leaders and contributors."

Company info
Website

Get job alerts

Create a job alert and receive personalized job recommendations straight to your inbox.

Create alert