Don't miss our weekly PhD newsletter | Sign up now Don't miss our weekly PhD newsletter | Sign up now

  Adaptive Technologies in Physiological Computing

   School of Biological and Environmental Sciences

This project is no longer listed on and may not be available.

Click here to search for PhD studentship opportunities
  Prof S Fairclough  No more applications being accepted  Funded PhD Project (European/UK Students Only)

About the Project

The School of Natural Sciences and Psychology, in partnership with the Department of Computer Science and General Engineering Research Institute, are working on adaptive technologies in the area of physiological computing. This studentship is co-funded by Emteq Ltd:

Applications are invited for a three-year full studentship in this field of research. The studentship includes tuition fees (currently £4,100 per annum) plus a tax-free maintenance stipend (currently £14,296 per annum). Applicants must be UK/EU nationals.

The programme of research is concerned with automatic recognition of emotional states based on measurements of facial electromyography (fEMG) and autonomic activity. The ability of these measures to successfully differentiate positive and negative emotional states will be explored by developing mood induction protocols in virtual reality (VR). Successful applicants will conduct research into the development of adaptive/affective VR scenarios designed to maximise the effectiveness of mood induction.

Applicants are expected to hold a good undergraduate (2:1) or postgraduate qualification in a related discipline, e.g. affective psychophysiology, human-computer interaction, or computer science. A demonstration of competency, experience or awareness of machine learning and digital signal processing techniques, including real-time data processing, would be advantageous as successful candidates will primarily be working in Matlab. Similarly, an interest in VR and psychophysiology would also be an advantage.

The starting date for the PhD studies is negotiable but all successful candidates would be expected to commence as soon as possible and no later than June 2017.

Funding Notes

You should hold or be close to obtaining a Bachelor or MSc degree in an area related to the research topic, with a degree classification of 2:1 or above. In order to be considered for this position, you must be able to enrol no later than June 2017.


Two references should be provided with your application. These should be signed, dated, and on headed paper from the referee's institution.