Postdoc: Aerobiological Modeling & Bioaerosol Dynamics

Technical Sciences - Institut for Miljøvidenskab; Roskilde; On-site; DKK 500,000 - 650,000; Full time

Job summary

Aarhus University invites applications for a 2-year PostDoc in aerobiological modelling, focusing on atmospheric bioaerosols, pollen and fungal spores, and the development of WRF-Chem with Python-based ML components.

The successful candidate will work within the Department of Environmental Science, collaborate with an interdisciplinary team, access leading data streams (Poleno Jupiter, DNA and Hirst-based observations), and contribute to international publications.

Qualifications

• PhD in environmental science, physics, chemistry, mathematics, engineering or similar.
• Experience collaborating and presenting at international conferences; lead manuscript authorship.
• Strong understanding of atmosphere and its modelling.
• Proven Linux and high-performance computing experience is expected.

Responsibilities

• Advance development of the WRF-Chem model for bioaerosols, pollen, and fungal spores.
• Integrate near real-time data into WRF-Chem and related models.
• Develop Python-based ML models using Poleno Jupiter data and DNA data.
• Collaborate with an aerobiological group and technicians; disseminate results through papers and conferences.
• Publish as co-author or lead author in international journals.

Skills

Collaboration experience

Conference presentations

Lead author manuscripts

English fluency

Education

PhD in environmental science, physics, chemistry, mathematics, engineering or similar

Tools

FORTRAN

C

Linux

Python (PyTorch/TensorFlow)

HYSPLIT

WRF-Chem

Job description

Aarhus University invites applications for a 2-year PostDoc in aerobiological modelling, focusing on atmospheric bioaerosols, pollen and fungal spores, and the development of WRF-Chem with Python-based ML components.

The successful candidate will work within the Department of Environmental Science, collaborate with an interdisciplinary team, access leading data streams (Poleno Jupiter, DNA and Hirst-based observations), and contribute to international publications.