Please note the deadline for application has passed and this vacancy is no longer available

Automatic Audiovisual Analysis of Naturalistic Behaviour

Department of Computing

 

Part/ Full-Time Appointment for up to 36 months

 

Salary: £26,580 - £31,240 per annum

 

The Department of Computing is a leading department of Computer Science among UK Universities. It has consistently been awarded the highest research rating (5*) in Research Assessment Exercises (RAE), coming 2nd in the 2008 RAE, and was rated as "Excellent" in the previous national assessment of teaching quality.

An exciting opportunity has arisen for two Scientific Programmers for the prestigious European Research Council Starting Grant funded project on human naturalistic behaviour analysis. The purpose of the project is to attempt to build automated tools for machine understanding of human interactive behaviour in naturalistic contexts. The envisioned technology will be based on findings in cognitive sciences and it will represent a set of visual and audiovisual spatiotemporal methods for automatic analysis of human spontaneous (as opposed to posed and exaggerated) patterns of behavioural cues including continuous analysis of human-human and human-computer interactive behaviour.

Within the project, the applicant will be responsible for development of new and optimisation of the existing Matlab and C++ code for audiovisual continuous analysis and interpretation of human behaviour. More specifically, the aim is to design and develop set of C++ tools (some based on the existing Matlab code) for effective and efficient, multimodal analysis and interpretation of human naturalistic behaviour that take into account non-linear correlations between multimodal cues (facial expressions, head and body gestures, and various vocalizations) in space and time.

The project involves some research challenges and significant development challenges, and the end results will contribute to development of more natural user interfaces as well as to development of computer-based analysis of human spontaneous behaviour displayed in various contexts.

To apply for this position, you will need to have a strong computing or engineering background. You should have proven knowledge and track record in scientific programming in one or more of the following areas: machine learning, multimodal data fusion, vision-based and audiovisual human behaviour analysis (in particular facial expression recognition, body gesture analysis, and vocal behaviour analysis). You will also have experience with working on large scientific projects. 

You must have excellent communication skills and be able to organize your own work with minimal supervision and prioritize work to meet deadlines. Preference will be given to applicants with a proven scientific programming record in the relevant areas. The post is based at the South Kensington Campus. 

You will be part of the Intelligent Human Behaviour Understanding Group (iBUG), Visual Information Processing Research Section, within the Computing Department and based at the South Kensington campus. For further information on the group and related projects http://www.doc.ic.ac.uk/~maja/

 

 

How to apply:

Our preferred method of application is online via our website at: http://www3.imperial.ac.uk/employment (please select “job search” then enter the job title or vacancy reference number into “keywords”). Please complete and upload an application form as directed.

 

Applications must include the following:

  • A college application form
  • Please quote job reference number MAH8 MP 0610 on the application form
  • A full CV including University degree & dates, past & present posts & list of publications
  • List of grades obtained for the Masters degree & Bachelor degree.
  • A 1 page research statement indicating what you see as interesting research issues relating to this post, why your expertise is relevant and what your future research plans are.

 

Should you have any queries regarding the application process please contact Joanne Day by email to: research.officer@doc.ic.ac.uk

 

Closing Date: 1 July 2010

 

 

Imperial College London values diversity and is committed to equality of opportunity.