PhD Position in Appropriate Care and Community Nursing Data
Investigate routine healthcare data infrastructures to improve quality and appropriate care in community nursing.
Best for:Best for master's graduates in nursing science or health sciences with strong quantitative and qualitative analytical skills.
Overview
Maastricht University invites applications for a four-year PhD position focusing on appropriate care and data infrastructure within community nursing. Working within the Department of Health Services Research at the Faculty of Health, Medicine and Life Sciences, the successful candidate will design governance scenarios, apply interoperability models, and assess data quality for routinely collected care data. The project is part of a national consortium uniting five regional Academic Collaborative Centres for Community Nursing to strengthen the learning knowledge infrastructure. The candidate will collaborate closely with researchers, care professionals, clients, and external partners such as Nivel and V&VN.
What you'll do
- Develop and execute a research plan focused on designing a data infrastructure for routinely collected community nursing data
- Design governance scenarios and evaluate interoperability models for nursing care data
- Assess and ensure the quality of data recorded by nurses and care professionals
- Collaborate within a national consortium of five regional Academic Collaborative Centres for Community Nursing
- Engage with diverse stakeholders including researchers, care professionals, clients, and industry organizations
- Contribute to scientific publications and present research findings within academic and professional venues
Requirements
Degree required: Master degree in Nursing Science, Health Sciences, or a related field
Degree offered: PhD
Language: English and Dutch; minimum C1 level proficiency in both languages, orally and in writing
Instruction: Dutch and English
Publications: A well-completed master thesis and/or previous publications demonstrating scientific writing capability
- Experience with quantitative and qualitative analytical methods applied in research or master thesis
- Demonstrated ability in scientific writing through a master thesis or publications
- Strong independent working abilities coupled with effective collaboration and communication skills
- Good organizational capabilities for managing research projects
- Open to both internal and external candidates, with internal candidates receiving priority in case of equal suitability
Funding & terms
How to apply
Deadline: 2026-11-05 (Europe/Amsterdam)
Submit your application including your CV, motivation letter, and contact information for at least two referees through the online application portal via the apply button.
- CV
- Cover letter
- Contact details of at least two referees
Contact
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