Kingston University London

DIRC Research Fellow (09/174)(External)

About the vacancy

DIRC Research Fellow
Computer Vision
Digital Imaging Research Centre, Kingston University


Following on from our excellent performance in the Research Assessment Exercise, the Faculty of Computing, Information Systems and Mathematics is investing in a number of three-year post-doctoral positions to strengthen our research centres and groups. The Digital Imaging Research Centre is seeking to recruit an outstanding, experienced individual to drive one of the following three strategic projects:


Recovering Human Body Pose from Video
Human pose recovery is one of the most challenging research areas in computer vision and has been achieved only in heavily constrained scenarios where an isolated person is performing a simple activity. This project will investigate pose recovery in complex scenarios and simultaneously pose recovery of multiple people. Such technology could have a huge potential in sports (e.g. martial arts, boxing, football) and surveillance (stealing, fighting, exchanging luggage) applications.


Investigating the 3D Cell Morphology of Malignant Cells
Developing a robust 3D computer vision based screening test to quantify the invasion characteristics of malignant cells could enable the identification of those genetic factors that control the malignant behaviour. As cell shape and malignancy are correlated, the project will develop an invasion assay to quantify the dynamics of the 3D shape of a cell during the invasion process in order to correlate these against the genetic profile of the cells. We aim to identify those combinations of several genes that most likely determine the metastatic potential of cells.

Genetics-inspired framework for video processing
Although state-of-the-art visual surveillance algorithms have been the product of extensive work by many researchers worldwide for more than a decade, current approaches are still not sufficient to handle the very wide range of data exhibited by CCTV videos. Consequently, a new approach is required to deal with such variability. In this project, we propose a genetics-inspired framework which sees variability in CCTV data as the expected norm rather than an inconvenience to control. By representing a CCTV sequence as an image under evolution, we will be able to design a new range of video processing algorithms inspired by genomics approaches.


Additional equipment and dissemination funding has also been allocated to the selected project. For more details, please visit http://cism.king.ac.uk/fellows. Informal enquires can be directed to the DIRC Director, Dr Sergio Velastin, by email at Sergio.Velastin@kingston.ac.uk or by telephone on +44 (0)20 8417 2719.


For further information email recruitment@kingston.ac.uk or call the recruitment line on 020 8417 3153 quoting reference 09/174


If you are a textphone user, please dial 18001 followed by the recruitment line number to access the Typetalk service.

Download Job Description

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Alternative Format

If you need to apply in an alternative format, please email recruitment@kingston.ac.uk for an application pack or call the recruitment line on 020 8417 3153, quoting the reference number.
If you are a textphone user, please dial 18001 followed by the recruitment line number to access the Typetalk service.