Scientific programmer and data analyst in Environmental Science

Would you like to apply your programming and data analysis skills to research and environmental advisory work addressing air pollution and climate change? We are looking for a scientific programmer and data analyst to help develop, modernize and operate atmospheric models and analyze complex environmental datasets. You will join the Section for Atmospheric Emissions and Modelling at the Department of Environmental Science, Aarhus University, working closely with researchers on both scientific projects and research-based advice to public authorities. The Section for Atmospheric Emissions and Modelling conducts research and provides research-based advice on atmospheric processes, emission inventories, air pollution and climate modeling, integrated impact assessment for health, nature and climate, and land-use and remote-sensing research. You will play an important role in advancing this work through the development and improvement of scientific models and the analysis and interpretation of complex environmental data. This is a permanent position based in Roskilde, Denmark, with an expected starting date of February 1, 2027, or as soon as possible thereafter. Expected start date and duration of employment This is a permanent position starting 1 Feb 2027 or as soon as possible thereafter.

Job description
You will participate in research and advisory projects, the latter mainly for the Danish Ministry of Environment. Both research and advisory projects aim to understand atmospheric processes, helping ministries and environmental agencies regulate air quality and protect our environment. You will work in a dynamic and multidisciplinary team of researchers. Together with researchers, your main task will be to restructure, improve and modernize existing air quality models and forecast systems as well as to contribute to the development of new integrated air pollution models. A key part of your role will be to help modernize our scientific codebase by introducing and applying good software development practices, making our models and workflows easier to maintain, document, test and reproduce. Your tasks will also include developing and automating workflows for computationally demanding model simulations, including parallel computing, and the processing of large datasets, as well as developing and maintaining applications and scripts in Linux and Windows environments. You will have the opportunity to collaborate with various research groups and shape the Section’s data science strategy. In addition, you will take part in department-wide initiatives such as workshops, presentations and events related to data science, and contribute to reports and scientific publications.

Your profile
We welcome applications from candidates who meet most, though not necessarily all, of the following

qualifications:
An MSc or PhD in computer science, software engineering, physics, applied mathematics or a related field Advanced programming skills in languages such as Python, R, Fortran, C/C++ or similar, including experience with scientific computing, data analysis and visualization libraries Experience with implementing and applying modern software development practices for scientific computing, including code organization, version control, documentation, testing, maintainability and reproducibility, as well as experience with parallel computing Experience in handling and analyzing large datasets We are looking for a curious, proactive and motivated colleague who is keen to develop new technical skills and acquire knowledge of atmospheric and air pollution science. Experience with the development and application of air quality models would be welcome, but is not required. You should enjoy working both independently and collaboratively, sharing knowledge and providing technical guidance to colleagues. Good communication skills and excellent written and spoken English are important. Danish language skills are an advantage, but not a requirement. Additional experience in any of the following areas would be an advantage, but is not required GIS and geospatial data Development and integration of APIs and web-based applications Working with and modernizing legacy scientific software, including Delphi or similar technologies Machine learning and AI methods About the Department The Department of Environmental Science is an interdisciplinary department within the Faculty of Technical Sciences at Aarhus University. Our research covers a wide range of fields, including physics, chemistry, microbiology, social sciences, geography, and environmental economics. The department conducts research and provides research-based advice to ministries and public authorities. Our work addresses major societal challenges such as pollution control, land and water management, climate change, biodiversity protection, and ecosystem services. We have a highly collaborative work environment, where all employees contribute to securing the research