Fully Funded PhD Studentship in Three-Channel Interview Assessment: Responsible Multimodal AI for Fair and Evidence-Based Hiring
University of Bedfordshire
Job title: Fully Funded PhD Studentship Package: Three-year studentship Job category/type: Research Fully Funded PhD Studentship in Responsible AI for Interview Assessment and Candidate-Organisation Compatibility (UK Home Applicants Only) Project: Three-Channel Interview Assessment: Responsible Multimodal AI for Fair and Evidence-Based Hiring Commercially Funded Doctoral Studentship in Collaboration with IMS Group, the University of Bedfordshire, and Luton AI. A full-time, fully funded PhD studentship for UK Hom...
Job title: Fully Funded PhD Studentship Package: Three-year studentship Job category/type: Research Fully Funded PhD Studentship in Responsible AI for Interview Assessment and Candidate-Organisation Compatibility (UK Home Applicants Only) Project: Three-Channel Interview Assessment: Responsible Multimodal AI for Fair and Evidence-Based Hiring Commercially Funded Doctoral Studentship in Collaboration with IMS Group, the University of Bedfordshire, and Luton AI. A full-time, fully funded PhD studentship for UK Hom...
Opportunity details
Job title: Fully Funded PhD Studentship Package: Three-year studentship Job category/type: Research Fully Funded PhD Studentship in Responsible AI for Interview Assessment and Candidate-Organisation Compatibility (UK Home Applicants Only) Project: Three-Channel Interview Assessment: Responsible Multimodal AI for Fair and Evidence-Based Hiring Commercially Funded Doctoral Studentship in Collaboration with IMS Group, the University of Bedfordshire, and Luton AI. A full-time, fully funded PhD studentship for UK Home students is available at the University of Bedfordshire to develop and evaluate responsible artificial intelligence methods for interview assessment and candidate-organisation compatibility. The studentship is commercially sponsored by IMS Group and will connect doctoral research with a major international workforce-solutions business operating across recruitment, finance, data, marketing and managed IT services. The successful candidate will also become part of Luton AI, the University of Bedfordshire's applied AI ecosystem. Luton AI brings together academic research, specialist facilities, external partners and real-world projects to support the responsible development and practical application of artificial intelligence. Through the IMS Group-funded studentship, the successful candidate will receive full tuition-fee support, an annual stipend, academic supervision, access to research infrastructure and specialist facilities, doctoral training, and opportunities to engage with an international commercial partner. Funding The studentship will provide: Full Home University tuition fees for three years - please note, this opportunity is only available to UK Home students. An annual stipend for up to three years - confirmed amount to be inserted. Access to spe...
Eligibility
Job title: Fully Funded PhD Studentship Package: Three-year studentship Job category/type: Research Fully Funded PhD Studentship in Responsible AI for Interview Assessment and Candidate-Organisation Compatibility (UK Home Applicants Only) Project: Three-Channel Interview Assessment: Responsible Multimodal AI for Fair and Evidence-Based Hiring Commercially Funded Doctoral Studentship in Collaboration with IMS Group, the University of Bedfordshire, and Luton AI. A full-time, fully funded PhD studentship for UK Home students is available at the University of Bedfordshire to develop and evaluate responsible artificial intelligence methods for interview assessment and candidate-organisation compatibility. The successful candidate will also become part of Luton AI, the University of Bedfordshire's applied AI ecosystem. Through the IMS Group-funded studentship, the successful candidate will receive full tuition-fee support, an annual stipend, academic supervision, access to research infrastructure and specialist facilities, doctoral training, and opportunities to engage with an international commercial partner.
Requirements
Applicants should normally have: A good honours degree, normally at least a UK 2:1 or international equivalent, in computer science, artificial intelligence, data science, human-computer interaction, psychology, organisational psychology, business analytics or a closely related subject. A relevant master's degree, or equivalent research or professional experience, would be advantageous. Applicants with relevant professional or technical experience in recruitment, assessment, HR technology, data analysis or AI who can demonstrate their ability to undertake doctoral-level research may also be considered. Knowledge Applicants should demonstrate knowledge of one or more of the following areas: Artificial intelligence and machine learning. Human-computer interaction, behavioural research or experimental design. Computer vision, audio analysis or multimodal data analysis. Statistics, psychometrics or quantitative research methods. Personnel selection, organisational psychology or person-environment fit. Explainable, responsible or human-centred AI. Research ethics, fairness, privacy or governance in data-driven systems. Knowledge of recruitment practice, structured interviews, affective computing or longitudinal research would be beneficial but is not essential. Experience Experience in one or more of the following would be advantageous: Programming in Python, R or a comparable language. Using machine-learning frameworks such as PyTorch, TensorFlow or scikit-learn. Working with audio, video, behavioural, assessment or longitudinal data. Designing experiments, surveys or quantitative evaluation studies. Applying statistical modelling, psychometrics or machine-learning evaluation methods. Working in interdisciplinary research or with external organisations. Preparing academi...
Funding and benefits
Funding eligibility: UK Students. Funding amount: Please see below. The studentship will provide:
Required documents
curriculum vitae, reference, personal statement
How to apply
Applicants should submit: A completed University PhD application through the University's Job portal. A current curriculum vitae, including full details of all relevant degrees and qualifications. A personal statement explaining their interest in the project, relevant skills and experience, and suitability for doctoral study. A short, fully referenced survey of the relevant research field, approximately 750-1,500 words in length, not including references. This should review the validity and limitations of interviews and personnel-selection methods; research on human judgement, bias and structured assessment; and relevant developments in AI-assisted recruitment, multimodal interaction analysis, explainable AI, fairness, privacy and governance. The survey should identify key gaps in the literature and briefly explain how the proposed PhD research could address them. Applicants should use appropriate peer-reviewed academic sources and provide a complete reference list. Contact details for two academic or professional referees. Please note that you may upload a maximum of two files. Each file must be no larger than 2 MB and must be in DOC, DOCX, PDF, RTF or TXT format. Applications must be submitted by Sunday 16th August 2026.
Open the official application information
Verify the deadline and final conditions on the official provider page before submitting an application.
Benefits
Funding eligibility: UK Students. Funding amount: Please see below. The studentship will provide:
Eligibility summary
Job title: Fully Funded PhD Studentship Package: Three-year studentship Job category/type: Research Fully Funded PhD Studentship in Responsible AI for Interview Assessment and Candidate-Organisation Compatibility (UK Home Applicants Only) Project: Three-Channel Interview Assessment: Responsible Multimodal AI for Fair and Evidence-Based Hiring Commercially Funded Doctoral Studentship in Collaboration with IMS Group, the University of Bedfordshire, and Luton AI. A full-time, fully funded PhD studentship for UK Home students is available at the University of Bedfordshire to develop and evaluate responsible artificial intelligence methods for interview assessment and candidate-organisation compatibility. The successful candidate will also become part of Luton AI, the University of Bedfordshire's applied AI ecosystem. Through the IMS Group-funded studentship, the successful candidate will receive full tuition-fee support, an annual stipend, academic supervision, access to research infrastructure and specialist facilities, doctoral training, and opportunities to engage with an international commercial partner.
Requirements
Applicants should normally have: A good honours degree, normally at least a UK 2:1 or international equivalent, in computer science, artificial intelligence, data science, human-computer interaction, psychology, organisational psychology, business analytics or a closely related subject. A relevant master's degree, or equivalent research or professional experience, would be advantageous. Applicants with relevant professional or technical experience in recruitment, assessment, HR technology, data analysis or AI who can demonstrate their ability to undertake doctoral-level research may also be considered. Knowledge Applicants should demonstrate knowledge of one or more of the following areas: Artificial intelligence and machine learning. Human-computer interaction, behavioural research or experimental design. Computer vision, audio analysis or multimodal data analysis. Statistics, psychometrics or quantitative research methods. Personnel selection, organisational psychology or person-environment fit. Explainable, responsible or human-centred AI. Research ethics, fairness, privacy or governance in data-driven systems. Knowledge of recruitment practice, structured interviews, affective computing or longitudinal research would be beneficial but is not essential. Experience Experience in one or more of the following would be advantageous: Programming in Python, R or a comparable language. Using machine-learning frameworks such as PyTorch, TensorFlow or scikit-learn. Working with audio, video, behavioural, assessment or longitudinal data. Designing experiments, surveys or quantitative evaluation studies. Applying statistical modelling, psychometrics or machine-learning evaluation methods. Working in interdisciplinary research or with external organisations. Preparing academic reports, technical documentation or research publications. Skills and competencies The successful candidate will be expected to demonstrate: A logical, analytical and methodical approach to problem-solving. The ability to plan and undertake research independently. Strong written and verbal communication skills. The ability to explain complex technical and behavioural concepts clearly to specialist and non-specialist audiences. Careful research-data management and record-keeping. The ability to work effectively with academic, technical, professional and industry collaborators. A strong understanding of ethical and responsible research involving AI, people and potentially sensitive data. High levels of motivation, initiative and intellectual curiosity. The ability to manage competing priorities and work to agreed deadlines. A willingness to learn new technical, statistical and research methods. A willingness to engage proactively and professionally with IMS Group throughout the studentship.
Documents required
curriculum vitae, reference, personal statement
Language/test requirements
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