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

Automatic Analysis of Social Signals from Audiovisual Cues

Department of Computing


Part Time Fixed Term Appointment for up to 36 months (20 hours a week)


Salary: £26,580 - £29,550 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 a Research Assistant for an EC FP7 funded project on human social behaviour analysis and synthesis. The research efforts within the project will be directed towards integration of existing Social Signal Processing (SSP) theories and technologies, and towards identification and exploration of potentials and limitations in SSP. More specifically, the framework of the SSPNet project will revolve around two research foci selected for their primacy and significance: Human-Human Interaction (HHI) and Human-Computer Interaction (HCI). A particular scientific challenge that binds the SSPNet project partners is the synergetic combination of human-human interaction models, and automated tools for human behaviour sensing and synthesis, within socially-adept multimodal interfaces.

Within the project, Imperial College is responsible for visual and audiovisual analysis and interpretation of human social signals. The successful candidate will be responsible for design and development of effective and efficient algorithms for multimodal analysis and interpretation of social signals like agreement and disagreement, mirroring, and empathetic signals that can 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 significant research and 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 social 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 one or more of the following areas: machine learning, multimodal data fusion, vision-based and audiovisual human behaviour analysis (in particular facial expression recognition and vocal outbursts analysis). You will also have a Masters degree (or equivalent) in an area pertinent to the subject area i.e. Computing or Engineering.  

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 research record and publications 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



How to apply:

Our preferred method of application is online via our website at: (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 SSP1 MP 0809 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:


Closing Date: 15 August 2009



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