Machine Learning specialist Weather

Machine Learning specialist Weather bij het Koninklijk Nederlands Meteorologisch Instituut

Do you want to use AI and machine learning (ML) to improve real-time weather forecasting and warning systems?

At the Royal Netherlands Meteorological Institute (KNMI), you will work on an AI/ML framework that turns satellite data from the Meteosat Third Generation (MTG-1) into reliable predictions for extreme weather.

By applying deep learning and big data, you help improve the accuracy of warnings for heavy rainfall, lightning, hail, and severe winds. The goal is to integrate your work into the systems of the KNMI Early Warning Center (EWC), contributing to the safety of people and infrastructure. Ready for a new challenge? Read on!

How you will contribute in this role

You will help develop an AI/ML framework that transforms data from the new Meteosat Third Generation (MTG) satellite into real-time forecasts of extreme weather. The Flexible Combined Imager (FCI) and Lightning Imager (LI) on board offer a unique opportunity to detect heavy rainfall, lightning, hail, and severe winds more accurately and in time.

To generate reliable predictions, you train machine learning algorithms using historical storm data from the European Severe Storms Lab (ESSL) "severe weather" database. You build on existing concepts such as the US-based ProbSevere nowcasting model and adapt these techniques to European weather systems.

Using your expertise in data science and AI, you develop advanced models and experiment with deep learning, data engineering, and real-time analysis. You work closely with meteorologists in the KNMI weather room and the Early Warning Center to ensure that the AI output supports effective operational decision-making. You also contribute actively to the KNMI AI/ML community, where knowledge and innovations are shared.

This project lies at the intersection of fundamental research and practical application. As AI/ML technologies evolve rapidly, you help translate the latest insights into robust solutions for weather forecasting in the Netherlands and beyond. Your work will contribute to a general AI framework that can also support future research questions and foundation models in meteorology and climate science.

What gives you energy in this role

You enjoy working with state-of-the-art AI technologies and translating complex models into practical and usable solutions. You thrive in an environment where science meets practice, and where your work directly contributes to the safety of people and infrastructure.

By working closely with meteorologists, AI/ML experts, and operational teams, you contribute to an innovative workplace where your solutions are truly used in real-world applications.

Want to know more about this role and how you can contribute to AI-driven weather forecasting?

Feel free to contact Jos de Laat, senior researcher at the Royal Netherlands Meteorological Institute, at +31 6 52062547 or by email at MSOvacancy2025@gmail.com. He will be happy to tell you more.

Dit krijg je

• Arbeidsovereenkomst voor bepaalde tijd
• 36 maanden

Dit bieden we nog meer

Plenty of opportunities for growth and development

The Dutch government strongly values personal growth and career development, and offers a wide range of possibilities to support this. You can follow training programs, earn certifications, and receive career coaching if desired.

Attractive benefits

In addition to your salary, you will receive an individual choices budget (IKB), which includes 8% holiday allowance and a year-end bonus. This IKB consists of both money (16.5% of your gross annual salary) and/or time. With this budget, you can tailor part of your employment conditions to suit your needs. For example, you can choose to receive part of your monthly income earlier, convert the budget into additional leave, or use it for tax-friendly purposes.

Other secondary benefits include access to workplace fitness programs and full reimbursement of your public transport costs for commuting.

Dit vragen wij

Education and level of thinking

• a PhD (doctoral level) in AI/ML is strongly preferred but we will consider candidates with a PhD in other relevant fields of science with proven AI/ML proficiency, or candidates without a PhD will also be considered provided the presence of proven strong AI/ML proficiency.

Knowledge and experience

• you hold a PhD in Artificial Intelligence (AI), Machine Learning (ML), or a related field
• you have experience working with Earth observation data, preferably including meteorological satellite data
• you are familiar with AI/ML frameworks such as TensorFlow and PyTorch
• you have experience with Python, R, and working in high-performance computing (HPC) environments
• you are skilled in translating complex datasets into practical AI solutions across different domains
• You speak and write fluent English and enjoy working in an international research environment

Hier kom je te werken

Royal Netherlands Meteorological Institute

The weather is unpredictable, the ground moves, and the climate is changing. To safeguard our safety and prosperity, we need to understand the risks and opportunities this brings—and how best to prepare. As the national center of knowledge and data for weather, climate, and seismology, the Royal Netherlands Meteorological Institute (KNMI) holds that expertise. We are a reliable and independent institute focused on what the Netherlands needs: a safe country that is prepared for the impacts of weather, climate, and earthquakes.

Driven by our core values – Development, Collaboration, and Relevance – we pursue our ambitions both within and beyond KNMI, nationally and internationally. We continuously advance our expertise and work together as one KNMI to make a difference for society.

Talent as foundation, diversity as strength

KNMI is an inclusive organization. We create space for everyone and use the strength of our diverse workforce to achieve better results for the Netherlands—not despite, but because of our differences. Inclusion means that every employee feels involved and valued. KNMI is part of the Ministry of Infrastructure and Water Management.

About the Ministry of Infrastructure and Water Management

The Ministry works to ensure a safe, accessible, and liveable Netherlands. It develops strong connections via road, rail, water, and air, protects against flooding, ensures clean air, water and soil, and supports the transition to a circular economy.

R&D Satellite Observations

The R&D Satellite Observations (RDSW) group at KNMI supports weather and climate research, and Earth system monitoring using satellite data, remote sensing from the surface, balloon soundings, and aircraft measurements. Key research areas include climate change, air quality, and stratospheric ozone.

The group’s satellite work spans the full chain: from gathering user requirements and developing instrument concepts, to producing satellite data products and conducting atmospheric research based on these observations. KNMI is the lead institute for the Sentinel-5P mission with the TROPOMI instrument and is responsible for developing key data products, such as nitrogen dioxide (NO2) retrievals.

The department fosters a positive and collaborative working atmosphere. Colleagues are approachable, treat each other with respect, and enjoy a coffee break together. The mix of men and women of various ages and backgrounds contributes to a welcoming and inclusive team environment.

Bijzonderheden

• All applications will be reviewed after the vacancy closing date. Candidates will be informed as soon as possible about the next steps in the process.
• To work for the Dutch government, you must be able to provide a Certificate of Good Conduct (VOG). The cost of obtaining this certificate will be reimbursed.
• Reference checks may be part of the application process. An (online) pre-selection test, assessment, case assignment, and/or (online) screening using databases may also be part of the selection procedure.