Internship | spatial variability of residential wood combustion

About the position

Residential wood combustion is the largest source of PM2.5 emissions in Europe. Accurately estimating the spatial distribution of these emissions is critical for assessing their impacts. This internship focuses on enhancing a recently developed model that distributes residential wood combustion emissions across Europe, incorporating national and local information such as gas network connections, policy measures, socioeconomic parameters, and the potential application to other fuels.

The internship involves the following tasks:

• Develop Python scripts to update spatial distribution maps.
• Incorporate national or subnational information (e.g., gas network connections, policy measures, socioeconomic parameters) into the model.
• Investigate the feasibility of applying the methodology to other fuels such as peat.
• Optionally, use the LOTOS‑EUROS model to analyze the impact of emissions on concentrations and compare results with measurements.
• Collaborate with the Air Quality and Emissions Research team, present findings, and participate in team discussions.

• Current enrolment in a relevant study program (environmental sciences, earth sciences, physics, chemistry, or a related field).
• Knowledge or strong interest in spatial datasets and environmental issues.
• Some experience with programming—especially Python—or the ability to acquire these skills quickly.
• Strong written and spoken communication skills in English.
• Independent work ability, critical evaluation of results, and proactive problem solving.

• Professional and innovative internship environment with leading experts.
• Personal and dedicated supervision focused on learning objectives and career development.
• Support for building subject‑specific and professional skills, and for networking.
• Provision of a laptop and the necessary facilities to perform work efficiently.
• Monthly internship allowance of €615 for full‑time internships (MSc, BSc, MBO).
• Up to eight hours of leave per month for work–life balance.
• Contribution towards travel expenses when appropriate.
• Free membership to Jong TNO, the network for young colleagues, with access to professional development activities.

Expected start:
September/October 2026. Duration: approximately six months at the TNO location in Utrecht, with 32 to 40 working hours per week and the possibility of part‑remote work. The internship will be supported by multiple scientists in a collaborative environment.

Final date to receive applications: 23

June
2026.