PhD position Advanced Monitoring Methodologies for Atmospheric Pollutants and Citizen Science Integration

This PhD is embedded in H2020 project VISONAIR (MAC 2610127) that is coordinated by VITO. The PhD-research focuses on the development, optimization, and application of advanced laboratory methodologies for the characterization of atmospheric particulate matter and associated pollutants. The work will contribute to improved understanding of ultrafine particles, toxic components, and source related signatures in ambient air samples, supporting air quality assessment and source apportionment activities within the broader project framework.

The research will primarily involve practical laboratory work and analytical method development. Atmospheric samples collected by project partners through drone based monitoring systems, passive samplers, portable devices, and citizen science sensor networks will be analyzed using state-of-the-art instrumentation available at VITO and collaborating institutions. External partners will provide complementary expertise in field measurements, sensor deployment, data integration, and modelling activities, allowing the PhD candidate to fully specialize in laboratory based analytical research.

A central objective of the PhD is the characterization of ultrafine particles with respect to number concentration, size distribution, morphology, and chemical composition. Correlative microscopy techniques will be applied for the identification of plastic particles, while sp-ICP-MS will be used for metal containing particles. Mass concentration and composition of plastics, black carbon, and tire and road wear particles will be determined using py-GC-MS. Organic pollutants including PAHs, VOCs, and SVOCs will be quantified through HPLC FLD, GC-MS, and Thermal Desorption GC-MS. Additional analyses will include ion chromatography for cations and anions, ICP-MS for toxic metals, andoxidative potential determination using DTT assays.

The PhD will further evaluate and optimize analytical workflows, sample preparation procedures, and quality assurance protocols for atmospheric particle analysis. Comparative assessment of passive and active sampling approaches will support the harmonization of methodologies across the consortium.

Overall, this research will strengthen laboratory capabilities for advanced atmospheric pollutant characterization and deliver scientifically robust analytical methodologies to support air quality management and environmental health studies.

PhD supervision

The research will be conducted primarily at VITO in close collaboration with Antwerp University. The successful candidate will be supervised by Prof. Adrian Covaci (UAntwerp) and co-promoted by Prof. Stefan Voorspoels (VITO).

How to apply?

Applications should be submitted online and include a copy of your CV, diploma transcripts and a cover letter. The selection procedure will be closed on 25 July 2026.

• Master in Sciences, Pharm. Sci., Chemical Engineering or similar

• Creative, critical and hand-on mentality

• Good oral and written communication skills in English