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Research Assistant/Associate in Automatic Affect Analysis for Human-Robot Interaction (Fixed Term)


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 creating adaptive robotic emotional intelligence for well-being, with a starting date of 1 April 2019 (or the earliest thereof). The aspect of the project the applicant will work on relates to creating novel affect and social signal sensing capabilities for social robots. This will be achieved by designing HRI studies in the context of well-being and devising novel spatio-temporal models for analysis and interpretation of multimodal user data.

Essential requirements: Candidates should have a degree in computer science, electronic engineering, mathematics or a closely related discipline, with experience and interest in Affective Computing, Human-Robot Interaction, Machine Learning and Computer Vision. In particular, they should have technical experience working with visual and/or multimodal data for Facial Expression and Affect 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 prior experience in conducting human-robot interaction studies and/or interaction studies related to well-being.

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). 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 an EPSRC Grant.

Applicants should contact Dr Hatice Gunes (http://www.cl.cam.ac.uk/~hg410/) for further information.

To apply online for this vacancy, please click on the 'Apply' button below. 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 NR17473 on your application and in any correspondence about this vacancy.

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Apply online