About Position/Job
Radboud University is offering a full-time Postdoctoral Researcher position in Explainable Artificial Intelligence (XAI) for Cultural Heritage within the Faculty of Science. This role is part of the national HAICu (Human AI for Cultural Heritage) project, a Netherlands-wide initiative connecting AI research with digital humanities, cultural heritage institutions, journalists, and society. The postdoc will focus on developing responsible and explainable AI technologies tailored to large-scale multimodal cultural heritage collections, particularly those of the National Library of the Netherlands. You will conduct independent research, supervise a PhD candidate working on XAI and metadata creation, and organise benchmarks for AI technologies applied to historical and contemporary newspapers. The project emphasises societal impact, transparency, and real-world applicability of AI, aligning strongly with Radboud University’s mission to address major societal challenges through interdisciplinary research.
Position/Job Details
- Position: Postdoctoral Researcher (Explainable AI for Cultural Heritage)
- Institution: Radboud University
- Department: Faculty of Science – Institute for Computing and Information Sciences (iCIS), Data Science Group
- Research field: Explainable Artificial Intelligence, Data Science, Cultural Heritage
- Location: Nijmegen, Netherlands
- Number of posts: 1
- Job Type: Full-time Postdoctoral Research Position
- Start Date (Anticipated): March 2026
- Working Hours: 38 hours per week (1.0 FTE)
- Salary Range: €3,546 – €5,538 gross per month
- Required Degree/Diploma: PhD
Research Area
- Explainable Artificial Intelligence (XAI)
- AI for cultural heritage collections
- Multimodal data analysis (text and images)
- Metadata creation and evaluation
- Responsible and transparent AI systems
- AI benchmarking for historical newspapers
Eligibility & Qualifications
Minimum Requirements:
- PhD in Artificial Intelligence, Data Science, Information Science, Language and Speech Technology, or a related field
- Strong experience with AI and Explainable AI methods
- Proven ability to conduct independent academic research
- Excellent written and spoken English
Preferred Qualifications:
- Experience working with cultural heritage collections (books, newspapers, films, archives)
- Experience supervising PhD candidates
- Background in organising academic or professional benchmarks
- Strong programming and software engineering skills
- Ability to work creatively in interdisciplinary teams
Key Responsibilities
- Develop Explainable AI methods for cultural heritage applications
- Conduct research aligned with the mission of the National Library of the Netherlands
- Supervise and mentor a PhD candidate
- Organise and evaluate AI benchmarks for heritage data
- Collaborate with national and international project partners
- Communicate research outcomes to academic and societal audiences
Application Process
How to Apply
Applications must be submitted online via Radboud University’s application system.
Address your motivation letter to Martha Larson.
Required Documents:
- Motivation letter
- Curriculum Vitae
- Supporting documents as specified in the application portal
Important Dates
- Application Opens: Open now
- Deadline: 13 January 2026
- Interview Date: 21 or 22 January 2026
Useful Links
- Institution Website: Radboud University, Netherlands
- Official Notification Link: click here
- Apply Now: Online application only
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