Postdoctoral Research Associate in Human-AI Interaction for Personalised Breast Cancer Care
Develop trustworthy AI-driven decision-support systems for personalised breast cancer treatment through human-centred design.
Best for:Best for postdoctoral researchers with expertise in human-computer interaction, human-AI interaction, or user-centred design, particularly those with experience in qualitative and quantitative research methods, participatory design, and multidisciplinary healthcare collaborations.
Overview
This postdoctoral position at the University of Leicester offers an opportunity to contribute to the ABIGAIL-4D project, a European-funded initiative focused on creating AI-driven decision-support tools for personalised breast cancer treatment. Based in the School of Computing and Mathematical Sciences, the role centres on human-computer interaction (HCI), human-AI interaction, and user-centred design. You will collaborate with multidisciplinary teams—including experts in computing, genomics, cancer sciences, and healthcare—to design transparent, trustworthy, and clinically relevant AI technologies. The work involves qualitative and quantitative research methods, such as co-design workshops, interviews, and field evaluations, with a strong emphasis on stakeholder engagement and project deliverables. This is an ideal opportunity for researchers passionate about advancing responsible AI in healthcare and improving personalised cancer care across Europe.
What you'll do
- Plan and conduct high-quality research using qualitative, quantitative, and mixed-method approaches, including co-design workshops, interviews, focus groups, and field evaluations.
- Develop transparent, trustworthy, and clinically relevant AI-driven decision-support systems for personalised breast cancer treatment.
- Collaborate with multidisciplinary teams comprising experts in computing, genomics, cancer sciences, and healthcare to integrate human-centred design principles.
- Contribute to project deliverables, stakeholder engagement activities, and publications to advance responsible AI in healthcare.
- Analyse and communicate research findings to diverse audiences, including clinicians, patients, researchers, and external partners.
- Work under the supervision of Dr Genovefa Kefalidou to shape the future of AI-driven healthcare technologies.
Requirements
Degree required: PhD in Human-Computer Interaction, Human Factors, Ergonomics, Product Design, or a closely related discipline (or close to completion)
Language: English (proficiency required for research communication and collaboration)
Instruction: English
- Experience contributing to research outputs such as peer-reviewed publications, technical reports, or software development.
- Strong analytical and problem-solving abilities.
- Experience designing and conducting research studies, including qualitative and quantitative methods.
- Proficiency in participatory design, co-design methods, interviews, focus groups, and technology evaluation.
- Ability to analyse and communicate both qualitative and quantitative findings to diverse audiences.
- No explicit nationality or residency restrictions mentioned.
- Open to existing staff members on a seconded basis (with prior approval from line manager).
Funding & terms
How to apply
Deadline: 2026-10-19
Applicants must submit their CV and a cover letter through the University of Leicester’s online application portal. Ensure your application highlights your relevant research experience, skills in human-AI interaction, and any prior work in multidisciplinary healthcare settings. Informal enquiries can be directed to Dr Genovefa Kefalidou via email.
- CV
- Cover letter
- Research statement or relevant publications (if applicable)
Contact
Genovefa Kefalidou· Supervisor
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