Publisher
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Camilla Geels

4 months ago

PhD in Atmospheric Ammonia and Nitrogen Deposition Modelling at Aarhus University Aarhus University in Denmark

Degree Level

PhD

Field of study

Computer Science

Funding

Salary and terms of employment are in accordance with the applicable collective agreement. The position is funded as part of the Horizon Europe project GreenEO. No specific stipend amount or tuition coverage details are provided.

Deadline

Expired

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Country

Denmark

University

Aarhus University

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Where to contact

Official Email

Keywords

Computer Science
Environmental Science
Agriculture
Remote Sensing
Biodiversity
Atmospheric Science
Earth Science
Earth Observation
Air Pollution
Nitrogen Cycling

About this position

Aarhus University is offering a PhD fellowship in the Environmental Science programme, focusing on studying atmospheric ammonia and nitrogen deposition through model development and satellite data integration. The research is part of the Horizon Europe GreenEO project, which aims to support sustainable agriculture and assess its impacts on pollution and biodiversity by integrating new Earth observation data and advancing nitrogen deposition modelling across Europe. The successful candidate will work on implementing satellite-derived high-resolution ammonia and nitrogen dioxide emissions and land surface variables into regional air pollution models, with the goal of improving modelled estimates of nitrogen deposition.

The project involves developing new parameterisations for dry deposition of ammonia and collaborating with the GreenEO team to deliver updated nitrogen deposition results for Denmark and Europe. The position is based at the Department of Environmental Science, Roskilde, Denmark, with opportunities for exchange stays at partner institutions. Applicants should have a relevant MSc degree and preferably experience in programming, data processing, statistics, machine learning, and remote sensing.

The position offers an international, multidisciplinary research environment. Salary and employment terms follow the collective agreement. The application deadline is December 1, 2025, and the preferred start date is February 1, 2026.

For more information, contact the main or co-supervisor.

Funding details

Salary and terms of employment are in accordance with the applicable collective agreement. The position is funded as part of the Horizon Europe project GreenEO. No specific stipend amount or tuition coverage details are provided.

What's required

Applicants must have a relevant MSc degree in environmental science, physics, computer science, or other related disciplines. Experience with programming in Fortran or similar languages, processing large datasets in Python or R, knowledge of statistics, machine learning/AI, and remote sensing is advantageous but not required. Fluency in English, strong oral and written communication skills, motivation to develop computational and analytical skills, and the ability to work independently and in an international academic environment are required.

How to apply

Submit your application via the provided link before the deadline. Upload the project description as a PDF. Ensure all required documents are included before the deadline. For further information, contact the supervisors or refer to the application guide.

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