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University of Bedfordshire
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Fully Funded PhD Studentship in Responsible Multimodal AI for Fair Interview Assessment and Hiring University of Bedfordshire in United Kingdom
Degree Level
PhD
Field of study
Computer Science
Funding
Full funding availableDeadline
Aug 16, 2026
Country
United Kingdom
University
University of Bedfordshire

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About this position
Fully funded PhD studentship at the University of Bedfordshire in responsible multimodal AI, interview assessment, personnel selection, and organisational psychology. The project, titled Three-Channel Interview Assessment: Responsible Multimodal AI for Fair and Evidence-Based Hiring, is run in collaboration with IMS Group and Luton AI.
The research will develop and evaluate a Three-Channel Interview Assessment Model combining verifiable evidence (qualifications, work samples, assessed skills), self-reported information (experience, motivations, structured responses), and observable interaction signals (gaze, facial movement, posture, gesture, vocal prosody). The project will examine how interviewers weight evidence, how bias and cultural interpretation affect decisions, and whether multimodal AI can add reliable, explainable value beyond structured assessment.
Relevant study areas include computer science, artificial intelligence, machine learning, computer vision, audio analysis, multimodal data analysis, statistics, psychometrics, human-computer interaction, and organisational psychology. The project also emphasizes fairness, privacy, informed consent, accessibility, human oversight, and explainable AI.
This is a full-time, fully funded PhD for UK Home students only. Funding includes full Home tuition fees for three years and an annual stipend for up to three years (amount not specified), plus access to specialist facilities, computing infrastructure, doctoral training, and supervision. The project is based in Luton, United Kingdom.
Eligibility highlights: applicants should normally hold at least a UK 2:1 or international equivalent in a relevant subject such as computer science, AI, data science, HCI, psychology, organisational psychology, or business analytics. A relevant master's degree or equivalent experience is advantageous. Experience with Python/R, PyTorch/TensorFlow/scikit-learn, experiments, statistical modelling, or audio/video/behavioural data is helpful.
Deadline: 16 August 2026. Applicants must submit a university PhD application via the job portal, a CV, personal statement, a 750–1,500 word referenced survey of the field, and two referees.
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
More information can be found here
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