Digital cultural heritage is increasingly accessed, shared and reused through online platforms, creating new opportunities for communities to participate in the production of knowledge and cultural narratives. However, many local collections remain difficult to discover because metadata is limited, resources are constrained and existing digital infrastructures often prioritise institutional requirements over community needs. Emerging linked data and AI technologies offer new ways to overcome these challenges, yet their application has largely focused on well-resourced organisations. This project addresses this gap by exploring how community voice, authority and care can shape the design of next-generation cultural data infrastructures.
Project details
The student will work with two research centres at Coventry University (CSMM and Arcc) and Capture Ltd to investigate whether decentralised linked data approaches can improve access to and the management of and engagement with community cultural collections. Combining software development, knowledge graph technologies and AI-assisted metadata generation with participatory co-design methods, the project will recruit UK archive partners to shape system requirements and governance practices.
Research activities will explore technical infrastructure, user experience, rights management and community decision-making. The project will assess how linked data models can support discovery while embedding CARE Principles of Collective Benefit, Authority to Control, Responsibility and Ethics within cultural heritage software system.
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Coventry University Fully Funded PhD Studentship in Developing AI for Digital cultural heritage PhD Scholarship
Aim and Benefits of Coventry University Fully Funded PhD Studentship in Developing AI for Digital cultural heritage PhD Scholarship
- This scholarship provides full tuition fees and bursary
- The successful candidate will receive comprehensive research training including technical, personal and professional skills.
- All researchers at Coventry University (from PhD to Professor) are part of the Doctoral College and Researcher College, which provides support with high-quality training and career development activities.
Coventry University Fully Funded PhD Studentship in Developing AI for Digital cultural heritage PhD Scholarship Courses
Requirements for Coventry University Fully Funded PhD Studentship in Developing AI for Digital cultural heritage PhD Scholarship Qualification
- A minimum of a 2:1 first degree in a relevant discipline/subject area with a minimum 60% mark in the project element or equivalent with a minimum 60% overall module average.
- Applicants ranging from UK to International (including EU) graduates are welcome to apply.
PLUS
- The potential to engage in innovative research and to complete the PhD within 3.5 years.
- A minimum of English language proficiency (IELTS academic overall minimum score of 7.0 with a minimum of 6.5 in each component).
Additional requirements
- Applicants should possess a strong background in computer science, software engineering, data science, digital humanities technologies or a closely related discipline.
- Experience with databases, metadata standards, linked data, artificial intelligence, machine learning, web technologies or knowledge graphs would be advantageous.
- Candidates should also demonstrate an interest in cultural heritage, archives, community participation or responsible data governance.
- The project requires a willingness to engage with archive practitioners, community participants and industry partners through workshops and co-design activities.
- Strong analytical, communication and collaborative working skills are essential, alongside a commitment to ethical and inclusive research practices.
Interview date, Process and Venue for Coventry University Fully Funded PhD Studentship in Developing AI for Digital cultural heritage PhD Scholarship
- Application deadline: 25 Aug 2026
- Interview date: Will be confirmed to shortlisted candidates
- Start date: January 2027
Check also:
Mastercard Foundation Scholars Program at UBC 2027
Chevening Scholarship 2027
Application Deadline
August 25, 2026How to Apply
- To find out more about the project, please contact Professor Vasile Palade.
- All applications require full supporting documentation, a covering letter, plus a 2000-word supporting statement showing how the applicant’s expertise and interests are relevant to the project.
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