PhD Position in Human-Centred AI in Education: Utrecht University offers a PhD position aimed at enhancing the transparency and controllability of AI technologies in education. This multidisciplinary project focuses on developing human-centred approaches to create effective explanation and control interfaces that improve educational stakeholders’ interactions with AI.
Designation
PhD Candidate in Human-Centred AI in Education
Research Area
Human-Centred Computing, Artificial Intelligence in Education, Explainable AI
Location
Utrecht University, Utrecht, Netherlands
Eligibility/Qualification
Criterion | Details |
---|---|
Degree Requirement | Recently completed or near completion of a Master’s degree in Human-Computer Interaction, Computer Science, Artificial Intelligence, Data Science, or a related discipline. |
Experience | Interest and preferably experience in education-related research. |
Research Skills | Experience with quantitative methods (data science, statistics) and qualitative methods (interviews, focus groups). |
Language Proficiency | Fluency in spoken and written English (C1 level). |
Teaching Skills | Motivation to develop teaching skills and coach students. |
Description
The PhD project is centered on addressing the challenges of transparency and control in AI-supported educational technologies. Working closely with educational stakeholders, the candidate will co-design and evaluate AI explanation and control interfaces. The research includes a range of skills such as data science, visualisation, user studies, and education-based frameworks. The position offers training and collaboration within an interdisciplinary team focusing on personalized and adaptive systems.
How to Apply
Interested applicants should submit the following documents:
- Curriculum Vitae
- Scans of BSc and/or MSc certificates (with certified translation if not in Dutch, French, or English)
- Master’s Thesis (or a relevant course paper if the thesis is not available)
- References: Names and email addresses of at least two referees (optional but encouraged)
- Portfolio: A portfolio of work related to the position (optional)
- Motivation Letter (max 2 pages) addressing specific questions regarding academic goals, interests, skills, and research challenges.
For application, please utilize the “Apply now” button available on the university’s career page.
Last Date for Apply
3 February 2025
This scholarship position not only offers an opportunity to contribute significantly to the field of AI in education but also provides benefits such as a competitive salary, professional development, and a collaborative interdisciplinary environment.