Postdoc: Aerobiological Modelling & ML for Bioaerosols

Aarhus Universitet; Roskilde; On-site; DKK 391,000 - 502,000; Full time

Benefits offered by this job

Research infrastructure

Interdisciplinary collaboration

Support for international publications

Work‑life balance culture

Job summary

The Department of Environmental Science at Aarhus University invites applications for a 2‑year PostDoc position focusing on aerobiological modelling. You will develop and extend numerical models for bioaerosols, pollen and fungal spores, and integrate real‑time data using WRF‑Chem.

Collaboration with a multidisciplinary team and dissemination through publications are central to the role. The successful candidate will hold a PhD in a relevant field, have strong Linux and programming skills, and

Qualifications

• PhD in environmental science, physics, chemistry, mathematics, engineering or similar.
• Experience collaborating and presenting at international conferences; leading manuscripts in peer‑reviewed journals.
• Understanding of atmosphere and its modelling is essential.

Responsibilities

• Develop and extend WRF-Chem for bioaerosols, pollen and fungal spores.
• Dynamically integrate near real-time data into WRF-Chem.
• Develop ML models using Poleno Jupiter data and Python.
• Implement grass pollen species and key fungal spores in models.
• Disseminate results via manuscripts and conference contributions.

Skills

Python programming

Collaborative research

Scientific writing

Conference presentations

English fluency

Education

PhD in Environmental Science or related field

Tools

FORTRAN

C

Linux

PyTorch

TensorFlow

Job description

The Department of Environmental Science at Aarhus University invites applications for a 2‑year PostDoc position focusing on aerobiological modelling. You will develop and extend numerical models for bioaerosols, pollen and fungal spores, and integrate real‑time data using WRF‑Chem.

Collaboration with a multidisciplinary team and dissemination through publications are central to the role. The successful candidate will hold a PhD in a relevant field, have strong Linux and programming skills, and