The Danish Meteorological Institute (DMI) is seeking two Machine Learning Scientists for permanent positions in the Weather Models Unit.

The positions focus on the development, maintenance and operationalisation of machine learning methods for weather forecasting. The work is closely connected to DMI’s numerical weather prediction systems and operational forecasting environment.

Your role

You will contribute to the development and maintenance of machine learning models and workflows used in weather forecasting.

Your tasks will include:

• Developing and evaluating machine learning models for weather forecasting
• Working with numerical weather prediction data and other large multidimensional geophysical datasets such as regional reanalyses
• Developing and maintaining data-processing and machine learning pipelines
• Preparing, quality-controlling, and transforming meteorological data
• Testing and documenting models and workflows
• Contributing to the operational implementation and maintenance of machine learning models
• Collaborating with colleagues working with numerical weather prediction, observations, IT infrastructure and forecast operations
• Contributing to relevant national and international development projects.

The specific distribution of tasks will depend on the qualifications and experience of the successful candidates.

Qualifications and experience

Required

To be considered for the positions, you must have:

• A Master’s or Ph.D. degree in applied mathematics, atmospheric or environmental sciences, physics, computer science, data science, or engineering
• Documented experience developing machine learning models for scientific or technical applications
• Experience with numerical weather prediction or comparable large-scale physical modelling systems
• Documented strong programming skills and experience with scientific software development in Python
• Practical experience with a modern machine learning framework such as PyTorch
• Experience working in Linux environments including HPC systems
• Experience working with large multidimensional scientific datasets
• Experience developing reproducible modelling or data-processing workflows
• Experience taking models or methods from development to tested implementation
• Professional proficiency in written and spoken English
• Experience working with architectural diagrams
• Graph neural network or transformer-based architectures for spatio-temporal weather forecasting
• Cloud native array storage formats
• Kubernetes-based deployment of machine learning workloads.

In addition, you must have documented experience in at least two of the following areas:

• Spatio-temporal machine learning applied to meteorological, geophysical or remote-sensing data
• Development and maintenance of end-to-end machine learning or data-processing pipelines
• Operationalisation, deployment, monitoring or maintenance of machine learning models
• Probabilistic forecasting, ensemble modelling or uncertainty estimation
• Scientific modelling of weather, climate, fluid dynamics or other physical systems

High-performance computing environments and distributed data processing. Applicants should clearly describe how they meet each of the required qualifications.

Additional relevant qualifications

It will be an advantage if you have experience with:

• Satellite observations, radar data or other remote-sensing data used for cloud, radiation, solar-power or renewable-energy forecasting and nowcasting
• CI/CD, automated testing, container technologies, workflow orchestration and MLflow
• Collaborative software development using Git and code review
• Fortran, Julia, C++ or other scientific computing languages
• International research and development collaborations.

Personal profile

We expect you to:

• Work independently and systematically
• Take responsibility for progressing assigned tasks
• Document your methods, software and results
• Work constructively with colleagues from different scientific and technical backgrounds
• Be motivated by applying machine learning within operational weather forecasting.

About the Weather Models Unit

You will join the Weather Models Unit, a team of 24 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.

About DMI

DMI is the national meteorological institute of Denmark and part of the Ministry of Climate, Energy and Utilities. We provide weather forecasts and warnings, climate knowledge, and marine services that support society, infrastructure, and decision-making across the Danish Realm.

Our work plays a critical role in safeguarding life and property, while also supporting key sectors such as renewable energy, aviation, shipping, and emergency preparedness. As the green transition accelerates, high-quality weather and climate information is becoming increasingly important for planning and operating energy systems based on wind and solar power.

At DMI, research and development are integral to our mission. We develop and operate advanced numerical models for weather prediction, ocean forecasting, and climate analysis, and we work closely with both national stakeholders and international partners. Our forecasting systems run operationally every day and are continuously improved through scientific innovation.

We are home to a strong international research environment with colleagues from many different backgrounds and disciplines. Across the institute, we value professionalism, collaboration, and a shared commitment to delivering knowledge that makes a real difference in society.

Employment and Salary

Employment and salary will be according to the Danish Law and Agreements. It will be possible to apply for 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.

Questions?

For further details about the positions, please contact:

Head of Weather Models, Julia Sommer, +45 29 46 96 34, jua@dmi.dk

Application

Please send your motivated cover letter, CV and diplomas no later than August 19th.

We expect to conduct interviews around August 21st -28th. Invitations will be sent by email.

To submit your application, please use the link "Apply for Position" and follow the instructions.

The expected start date is as soon as possible.