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PhD student: Effect van interventies op luchtkwaliteit in Nederland Utrecht University in Netherlands

Degree Level

PhD

Field of study

Computer Science

Funding

Full-time PhD position (1.0 FTE) for one year initially, extendable to four years after positive evaluation; salary €3,204–€4,051 per month (scale P, based on 38 hours/week), plus 8% holiday allowance and 8.3% year-end bonus.

Deadline

Nov 30, 2026

Country flag

Country

Netherlands

University

Utrecht University

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Keywords

Computer Science
Environmental Science
Biology
Geography
Spatial Analysis
Sensor Technology
Salud Pública
Air Pollution
Ecological Modeling
Environmental Epidemiology
Statistics

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About this position

This PhD project at the Institute for Risk Assessment Sciences (IRAS) at Utrecht University focuses on how interventions and broader societal transitions affect air quality in the Netherlands. The research sits within the NWA-ORC project ExpACT, which examines the health effects of air pollution and develops improved monitoring technologies and methods for understanding changing pollution levels and sources.

You will investigate how real-world interventions change air pollution in a series of practice-based Living Labs. These interventions may include local measures such as a noise barrier near a railway line or the temporary closure of an airport. The project also asks how well current measurement and modelling approaches can detect and quantify these effects.

The research is closely connected to co-creation with residents and professionals, with research questions and methods being continuously refined in dialogue with stakeholders. You will work with Living Labs across the country and with ExpACT partners developing new sensors and equipment, integrating these technologies and modelling techniques into the research design.

The project spans a range of settings, from rural areas where agricultural change influences ammonia emissions, to urban locations where emissions from railways and other sources are studied, and Eindhoven where the effects of the planned temporary closure of Eindhoven Airport on ultrafine particle concentrations will be assessed.

You will be based in a multidisciplinary environment at IRAS, part of Utrecht University’s Faculty of Veterinary Medicine and the Department of Population Health Sciences. The group has international expertise in environmental epidemiology, exposure assessment, occupational health, toxicology, and the exposome, and collaborates with researchers, institutes, companies, governments, and residents throughout the Netherlands.

Funding details

Full-time PhD position (1.0 FTE) for one year initially, extendable to four years after positive evaluation; salary €3,204–€4,051 per month (scale P, based on 38 hours/week), plus 8% holiday allowance and 8.3% year-end bonus.

What's required

Applicants should have, or expect to obtain before the start date, a master’s degree in a relevant discipline such as environmental sciences, exposure science, public health, data science, statistics, computational science, or a related field. Preferred qualifications include programming experience in R and/or Python, strong quantitative and analytical skills, interest in measuring and modelling air pollution and environmental exposure assessment, the ability to work independently while contributing to a multidisciplinary and international team, experience with or interest in co-creation and collaboration with residents, professionals and other stakeholders, good command of Dutch because much of the co-creation takes place in Dutch, and strong written, visual, and oral communication skills with excellent spoken and written English. Creativity, scientific curiosity, and interest in developing new approaches are also desired.

How to apply

Apply via the AcademicTransfer application link. Submit your application before the deadline of 30 November 2026 at 22:00.

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Professors

Prof. at Utrecht University

University Name
Country flag

Netherlands

Research Interests

Epidemiology

Biostatistics

Environmental Science

Biology

Biomarker Research