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Bekijk de volledige vacature en solliciteer via de website: chassesearch.nl/vacatures

PhD: Identifying and Addressing Barriers to Accessing Youth Mental Health Care

Daarnaast ga je in de klinische praktijk data verzamelen om inzicht te krijgen in ervaringen van jongeren die wel hulp hebben gezocht. Deze informatie zal gebruikt worden om drempels om te zetten in praktische tools die de stap naar hulp verlagen. Op deze manier beoogt dit project een antwoord te geven op de vraag: Hoe kunnen we mentale gezondheidszorg toegankelijker maken voor jongeren?

Binnen het project is er ook ruimte voor eigen inbreng voor een specifiek onderwerp/subdoel. Het onderzoek zal resulteren in een dissertatie.
In de functie van promovendus ben je verantwoordelijk voor:

• bestuderen van relevante literatuur op het gebied van internaliserende problematiek, drempels voor het zoeken van hulp en interventies;
• analyseren van bestaande kwantitatieve data van jongeren met (sub)klinische klachten (zowel cross-sectioneel als longitudinaal);
• data verzamelen met behulp van focus groepen in de klinische praktijk (o.a. GGzCentraal);
• uitvoeren van single case studies in de klinische praktijk;
• rapporteren van resultaten in Engelstalige artikelen, resulterend in een proefschrift;
• presenteren van resultaten op internationale en nationale congressen;
• geven van onderwijs (10% van je aanstelling).

PhD Position: Mapping the Dynamics of Interpersonal Emotion Regulation

The Department of Social, Health, and Organizational Psychology at Utrecht University has an opening for a PhD position. As a PhD candidate, you will have the following responsibilities:

• conducting literature reviews and designing quantitative studies (experience sampling studies, in-lab interaction studies, surveys);
• collecting, analyzing, and reporting data, leading to international scientific publications and a dissertation;
• presenting findings at national and international conferences;
• teaching (10%);
• actively participating in the research group and the department;
• completing the PhD program at the Kurt Lewin Institute (KLI).

Assistant Professor in Social Inequality

The post involves a standard combination of teaching (60%) and research (40%). If you wish to focus your career on teaching, an appointment comprising 70% teaching and 30% research is also possible. In terms of research, we are looking for a candidate with a strong track record in the fields of social inequality and/or social stratification. Preferably, the research aligns with Utrecht University’s strategic theme ‘Institutions for Open Societies’. The candidate must be versatile across our teaching programmes. Being able to teach in Dutch is, therefore, an asset. Ideally, the candidate will also demonstrate a commitment to outreach and societal impact.

PhD position: Develop Hybrid Machine Learning for Global Soil Mapping

Predicting ecosystem dynamics under global change requires accurate and consistent soil information at global scale. Current global soil maps are derived using empirical machine learning that often ignores known soil processes, resulting in inconsistencies across soil properties and underperformance in data-scarce regions.

This PhD project will develop next-generation machine learning methods for geospatial prediction by integrating process knowledge into modern AI tools. The research offers the opportunity to explore neural network architectures, tabular transformers or Bayes methods to include process-information into machine learning and to develop new geoAI approaches for spatiotemporal mapping usable across domains.

The project is embedded in the Computational Geography group at the Department of Physical Geography, where you will work with researchers in environmental geo-spatial AI method development, soil modelling and spatial statistics.