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PhD studentship in The psychology of artificial intelligence and emotion

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  • Full or part time
    Prof I Tucker
  • Application Deadline
    No more applications being accepted
  • Funded PhD Project (Students Worldwide)
    Funded PhD Project (Students Worldwide)

About This PhD Project

Project Description

(Reference code: PSY2019_PHD_IT)

Applications are invited for a full-time funded PhD research studentship in the School of Psychology, University of East London. In the 2014 Research Excellence Framework, 25% of our research in the School of Psychology was recognised as "world leading", and 43% of our research was "internationally excellent". Our research also received the highest 4.00 out of 4.00 ratings for Impact, demonstrating how the research goes beyond academia and has direct benefits to health, quality of life, public policy, and to society. The PhD studentships are targeted to support key strategic aims in relation to the University of East London’s Vision 2028.

Digital technologies that use artificial intelligence to process data about emotion promise to transform our daily lives in multiple ways. To date, research has primarily focused on the technical capacities of machine reading of emotion, and not the psychological processes associated with living in environments with increased machine reading of emotion.

Using a mixed methods approach, the project will explore the ways that emotional-AI technologies are changing how we experience our social worlds, and what the psychological implications are. This will involve developing understanding and knowledge of psychological theories of technology and emotion, novel methodological approaches and delivering impact-ready findings.

We are looking for an individual with a strong background in psychology, experience of qualitative and quantitative methods, and a keen interest in the potential impact of emotional-AI technologies on psychological and social life. Research skills training will be provided, and the studentship offers the potential to make a significant contribution to a strategic new research area in the School of Psychology.

The supervisory team members are Professor Ian Tucker ([Email Address Removed]) (Director of Studies), Dr Mary-Jane Budd and Dr Darren Ellis.

The Award

The studentship is open to Home/EU and International applicants and is for a period of three years (subject to satisfactory yearly progress) and provides an annual stipend of £16900.00 p.a., payment of tuition fees, and a training bursary. The holder of the studentship will be expected to complete their doctoral studies and submit their dissertation within 3 years, prepare papers for submission to peer-reviewed journals, and participate in and contribute to research activities of the School of Psychology.


Applicants should hold a BSc/BA/BSc (Hons) in Psychology, second class upper division or above and/or be eligible for Chartered Membership (CPsychol) of the BPS (see Where English is not the applicant’s first language, a minimum IELTS score of 7.0 overall with a minimum of 6.5 in all components is required at MPhil/PhD entry level. Assessment of English language competence must normally have been undertaken no more than 2 years prior to application. Relevant and more recent undergraduate study in a UK Higher Institution may be accepted as sufficient proof of ability.

Application Procedure

Informal enquiries about the studentship should be addressed to the proposed Director of Studies, Professor Ian Tucker ([Email Address Removed]) with the email title ‘PhD Digital Studentship 2019’.

Applicants should apply online via the following link:

When completing your online application please state the project title and reference code in your personal statement. Applications will only be accepted via the online application form. Please also use the reference code in all correspondence. The closing date for completed applications is 23:59 GMT, Monday 19th August 2019. Interviews will be held in first week of September, 2019 for a September 2019 start. The application process is lodged in The Graduate School and queries should be addressed to [Email Address Removed]

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