The Danish Meteorological Institute (DMI) is seeking a machine learning scientist to develop next-generation data-driven models for weather forecasting. You will work at the intersection of machine learning and numerical weather prediction, contributing to models and systems that are developed with a clear path towards operational use.
Your Role At DMI, you will apply modern machine learning techniques to complex, real-world forecasting problems. A key part of the role is working at the interface between research and operations turning ideas and prototypes into robust, scalable solutions that can be used in practice.
You will:
- Develop machine learning models for weather forecasting
- Work with large-scale, high-resolution spatio-temporal datasets
- Combine data-driven approaches with physical models
- Contribute to forecasting systems that are used in practice
You will be working in an environment with strong domain expertise, modern ML tooling, and access to large datasets and computational resources.
As part of our team, you will also engage in DMI’s international collaborations contributing to the development of next-generation machine learning-based forecasting models. You will work with leading partners across Europe and contribute to advancing data-driven approaches to high-resolution weather forecasting, helping bring new methods closer to operational use.
Qualifications and Experience 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
About the Weather Models Unit 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.
Employment and Salary Employment and salary will be according to the Danish Law and Agreements. It will be possible to negotiate an addition to the basic salary.
DMI offers a flexible working week of 37 hours including a paid lunch break, and six weeks of paid vacation annually. If you come from abroad, there is a possibility for a reduced tax scheme the first 7 years.
At DMI, diversity is an important value for us, because we believe that an inclusive and versatile work environment strengthens task fulfilment. We work actively with diversity in our employee composition, which is reflected in our inclusive workplace with a balance between work life and family life. We encourage everyone to apply for the position regardless of age, gender, sexuality, religion or ethnicity.
Apply now 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, jua@dmi.dk
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.
