Role overview
You will join the Weather Models Unit, a team of 23 dedicated scientists who design, develop, and operate Denmark’s weather prediction systems. Our work sits at the core of DMI’s forecasting services, and we take pride in delivering high-quality models that are used operationally every day.
We work in close interaction with forecast operations and IT specialists, ensuring a strong link between research, development, and real-world application. At the same time, we are deeply engaged in international collaborations, contributing to and benefiting from a strong European research community.
We value scientific depth, curiosity, and knowledge sharing. Discussions are open and constructive, and ideas are challenged and improved collaboratively. You will be part of a team with a strong professional identity, where people are committed to their field and to each other.
Alongside our scientific focus, we maintain an informal and supportive working environment, where collaboration, trust, and a good sense of community are an integral part of everyday work.
What we're looking for
We expect you to have:
- A Master's or Ph.D. degree in applied mathematics, environmental sciences, physics, data science, or a related field
- Strong experience with machine learning with solid understanding of core methods and tools
- Solid programming skills and experience with scientific programming in languages such as Python
- Experience with machine learning frameworks such as PyTorch or JAX
- Experience working in Linux environments
Additionally, it would be an advantage if you have:
- Experience with spatio-temporal modelling or geophysical data
- Experience with probabilistic forecasting and uncertainty estimation
- Experience with numerical weather prediction systems or similar large-scale fluid modelling systems
- Practical experience building, testing, and deploying machine learning models
- Experience working with large datasets and building end-to-end ML pipelines
- Familiarity with Fortran or other high-performance scientific computing languages
- Experience with scientific computing and modelling of physical systems
- Familiarity with CI/CD, MLFlow, or HPC environments
And finally, we hope you can recognize yourself in the following personal characteristics:
- Pragmatic and solution-oriented, with a focus on delivering results
- Motivated by applying ML to real-world problems rather than purely theoretical work
- Comfortable taking ownership and driving work forward
- Enjoy working in a collaborative, interdisciplinary environment
- Strong communication skills in English
Please send your motivated cover letter, CV and diplomas no later than May 31st.
We expect to conduct interviews around June 8nd -12th. Invitations will be sent by email.
For further details about the position, please contact Head of Weather Models, Julia Sommer, +45 29 46 96 34, [email protected]
To submit your application, please use the link "Apply for Position" and follow the instructions.
The expected start date is as soon as possible, likely in August.