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Subject:
From:
Hatice Gunes <[log in to unmask]>
Reply To:
Hatice Gunes <[log in to unmask]>
Date:
Mon, 15 Oct 2018 11:25:58 +0100
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Research Assistant/Associate in Automatic Analysis of Facial Expressions and
Affect (Fixed Term)

http://www.jobs.cam.ac.uk/job/19102/

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Research Assistant 26,243 - 30,395 or Research Associate 32,236 - 39,609

 

Fixed-term: The funds for this post are available for 2 years in the first
instance.

 

A position is available to work on a project related to digital
transformation in health and care with a starting date of 1 February 2019
(or the earliest thereafter). The aspect of the project the applicant will
work on relates to facial expression and facial action unit recognition and
analysis of user affective state on mobile devices in real time. This will
be achieved by devising novel spatio-temporal models for vision-based
analysis and interpretation of facial input data with a consideration for
mobile system effectiveness and efficiency.

 

Essential requirements: Candidates should have a degree in computer
science(or close to completion), electronic engineering, mathematics or a
closely related discipline, with experience and interest in Affective
Computing, Computer Vision and Machine Learning. In particular, they should
have technical experience working with facial data for Facial Analysis
and/or Facial Expression Recognition. Candidates must demonstrate very good
programming skills and be self-motivated. Appointment at research associate
level requires a strong publication record.

 

Desirable skills: It is desirable that the candidate has expertise in
programming real-time computer vision applications.

 

This position can be filled by an appropriate candidate at research
assistant or research associate level, depending on relevant qualifications
and experience. Appointment at research associate level is dependent of
having a PhD (or equivalent experience) and a strong publication record.
Where a PhD has yet to be, awarded appointment will initially be made as a
research assistant and amended to research associate when the PhD is
awarded.

 

This position is funded through a European Union (EU) Horizon 2020 Grant.
Applicants should contact Dr Hatice Gunes (http://www.cl.cam.ac.uk/~hg410/)
for further information.

 

To apply online for this vacancy, please visit

http://www.jobs.cam.ac.uk/job/19102/

 

and click on the 'Apply' button. This will route you to the University's Web
Recruitment System, where you will need to register an account (if you have
not already) and log in before completing the online application form.

 

Please ensure you upload your curriculum vitae; a statement of the
particular contribution you would like to make to the project (maximum 500
words); a description (max 1 page of A4) of the research project you are
most proud of and your contribution to it; a transcript of your university
grades; and a cover letter with details of your visa status and earliest
possible starting date. The track record of publications should be included
in the application as a link to Google Scholar or ORCID profile. If you
upload any additional documents which have not been requested, we will not
be able to consider these as part of your application.

 

Please quote reference NR17002 on your application and in any correspondence
about this vacancy.

 

The University values diversity and is committed to equality of opportunity.

 

The University has a responsibility to ensure that all employees are
eligible to live and work in the UK.

 

---

Dr Hatice Gunes

Associate Professor (Senior Lecturer)

University of Cambridge

Department of Computer Science & Technology

Phone: +44 12237-63684

Email: [log in to unmask] <mailto:[log in to unmask]> 

Web: http://www.cl.cam.ac.uk/~hg410/


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