CHI-ANNOUNCEMENTS Archives

ACM SIGCHI General Interest Announcements (Mailing List)

CHI-ANNOUNCEMENTS@LISTSERV.ACM.ORG

Options: Use Forum View

Use Monospaced Font
Show Text Part by Default
Show All Mail Headers

Message: [<< First] [< Prev] [Next >] [Last >>]
Topic: [<< First] [< Prev] [Next >] [Last >>]
Author: [<< First] [< Prev] [Next >] [Last >>]

Print Reply
Subject:
From:
"Fairclough, Stephen" <[log in to unmask]>
Reply To:
Fairclough, Stephen
Date:
Mon, 30 Jan 2017 13:42:58 +0000
Content-Type:
text/plain
Parts/Attachments:
text/plain (43 lines)
FUNDED PhD STUDENTSHIP AT LIVERPOOL JOHN MOORES UNIVERSITY, UK

ADAPTIVE TECHNOLOGIES IN PHYSIOLOGICAL COMPUTING

Closing Date: 3rd March 2017
UK/EU nationals only

Link<https://www.findaphd.com/search/ProjectDetails.aspx?PJID=82957&LID=2457> to ad on FindAPhD

Project Description

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: emteq.net

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.

Informal enquires should be directed to Prof Stephen Fairclough: [log in to unmask]
Applicants can also request a detailed description of the research project by writing directly to this email address.

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.

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

________________________________
Important Notice: the information in this email and any attachments is for the sole use of the intended recipient(s). If you are not an intended recipient, or a person responsible for delivering it to an intended recipient, you should delete it from your system immediately without disclosing its contents elsewhere and advise the sender by returning the email or by telephoning a number contained in the body of the email. No responsibility is accepted for loss or damage arising from viruses or changes made to this message after it was sent. The views contained in this email are those of the author and not necessarily those of Liverpool John Moores University.

    ---------------------------------------------------------------
    For news of CHI books, courses & software, join CHI-RESOURCES
     mailto: [log in to unmask]

    To unsubscribe from CHI-ANNOUNCEMENTS send an email to
     mailto:[log in to unmask]

    For further details of CHI lists see http://listserv.acm.org
    ---------------------------------------------------------------

ATOM RSS1 RSS2