Publisher
source

Aarhus University

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Postdoc in Aerobiological Modelling at Aarhus University Aarhus University in Denmark

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full-time, fixed-term 2-year postdoc position with possibility of extension. The project is described as well funded and is associated with Novo Nordisk Foundation-funded research projects (NNF RECRUIT and NNF EARLY-BLIGHT). Salary and terms follow Danish collective agreements and basic salary steps 4-8.

Deadline

Nov 1, 2026

Country flag

Country

Denmark

University

Aarhus University

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Keywords

Computer Science
Chemistry
Environmental Science
Agriculture
Biology
Mathematics
Atmospheric Science
Python Programming
Pollen Biology
Physics
ML

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About this position

Postdoc in aerobiological modelling at Aarhus University, Department of Environmental Sciences (Faculty of Technical Sciences), with the work location in Roskilde, Denmark.

The project focuses on atmospheric science, bioaerosols, pollen, fungal spores, and the development of a new generation of numerical models for concentrations and transport. The successful candidate will contribute to the further development of WRF-Chem, integration of near real-time data, and machine-learning models using Python. The role also involves work with HYSPLIT, WRF, DNA-based observations, Hirst trap data, and Poleno Jupiter instruments.

This is a 2-year full-time fixed-term postdoc position, starting 1 March 2027 or as soon as possible, with a possible extension. The position is linked to two Novo Nordisk Foundation-funded projects: NNF RECRUIT and NNF EARLY-BLIGHT.

Eligibility highlights: a PhD in environmental science, physics, chemistry, mathematics, engineering, or a similar field; documented research experience in numerical modelling; experience presenting at international conferences and leading peer-reviewed manuscripts; strong understanding of atmospheric modelling; and required programming/Linux skills including FORTRAN, C or similar, and Linux. English fluency and strong communication skills are required. Experience with WRF/WRF-Chem, bioaerosols, PyTorch, or TensorFlow is an advantage.

How to apply: submit the application in English through Aarhus University’s recruitment system. Include a CV, degree certificate, complete publication list, statement of future research plans, and information about research activities and teaching experience if relevant.

Deadline: 1 November 2026, 23:59 CET.

Supervisory/contact persons mentioned are Professor Carsten Ambelas Skjøth and Head of section Lise Lotte Sørensen at Aarhus University.

Funding details

Full-time, fixed-term 2-year postdoc position with possibility of extension. The project is described as well funded and is associated with Novo Nordisk Foundation-funded research projects (NNF RECRUIT and NNF EARLY-BLIGHT). Salary and terms follow Danish collective agreements and basic salary steps 4-8.

What's required

Applicants should hold a PhD in environmental science, physics, chemistry, mathematics, engineering or a similar field. Required experience includes collaboration, presenting at international conferences, leading manuscripts in peer-reviewed journals, documented research experience in numerical modelling, and strong understanding of the atmosphere and its modelling. Documented experience with FORTRAN, C or similar is required, as is documented experience with Linux. English fluency and strong writing and verbal communication skills are required. Experience with WRF, WRF-Chem, bioaerosols, PyTorch, or TensorFlow is advantageous but not mandatory. Candidates with a completed PhD before the interview date will also be considered.

How to apply

Apply through Aarhus University's recruitment system via the job advertisement page. Submit the application in English with a CV, degree certificate, complete publication list, statement of future research plans, information about research activities, and teaching portfolio/verified teaching experience if applicable.

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