PhD Candidate for the Project “Learning Approach Vital Limburg”

The Open University (OU) is seeking a PhD candidate to contribute to the 'Learning Approach Vital Limburg' project, which aims to enhance regional welfare and address complex societal challenges. Working in collaboration with the Province of Limburg and various municipalities, the researcher will facilitate learning structures and implement data-driven monitoring systems. The project utilizes innovative social science methodologies, including the DOELWIT method and layered definition landscapes, to foster structural policy improvements. The successful candidate will be embedded in the Theory, Methods, and Statistics department and will work across multiple locations, including the Province of Limburg and Maastricht University. This role offers a unique opportunity to apply open science principles while conducting impactful, practice-oriented research.

• Establish and facilitate learning structures with key stakeholders in the province, regions, and municipalities.
• Guide professional groups in developing layered definition landscapes and applying the DOELWIT methodology.
• Document research processes through field notes and recordings for qualitative analysis.
• Code qualitative data using the Reproducible Open Coding Kit (ROCK).
• Develop and implement conceptual instruments and open-source software to support learning approaches.
• Apply open science principles by making data, materials, and analysis scripts publicly available.
• Draft scientific articles and contribute to the final PhD dissertation.