Senior inspecteur meteorologische meetlocaties

Hoe zorgen we ervoor dat miljoenen Nederlanders elke dag kunnen vertrouwen op betrouwbare weersverwachtingen? Dat is waar jij aan bijdraagt bij het Koninklijk Nederlands Meteorologisch Instituut (KNMI). Als senior inspecteur speel je een sleutelrol in de kwaliteit van onze meteorologische waarnemingen. Met jouw kennis en expertise zorg je ervoor dat onze meetstations betrouwbare en representatieve data leveren. Dit is jouw kans om direct bij te dragen aan de kwaliteit van het Nederlandse weerbericht: lees verder of solliciteer direct!

Hoe jij bijdraagt
Wij zoeken een senior inspecteur die zowel inhoudelijk expert is als actief meewerkt in de uitvoering. Je bent kennishouder van de meteorologische en ruimtelijke eisen voor waarneemstations en voert daarnaast zelf inspecties uit. Je werkt samen met collega’s binnen en buiten het inspectieteam en bent een belangrijk aanspreekpunt voor interne en externe stakeholders. Jij bewaakt de kwaliteit en continuïteit van het inspectieproces.

In deze rol werk je op unieke locaties. Denk hierbij aan Schiphol en platformen op zee. Jij volgt hiervoor diverse trainingen en cursussen om hier te mogen werken.

Jouw werkzaamheden

• Je coördineert het inspectieteam en bewaakt samen met je collega’s de inspectieplanning. Je verdeelt het werk, stemt af met interne en externe partners, en zorgt dat inspecties tijdig en consistent worden uitgevoerd.
• Je voert ruimtelijke inspecties uit op meteorologische waarneemlocaties op land en op platforms op zee. Gelukkig heb jij geen hoogtevrees! Daarbij beoordeel je de representativiteit van meetlocaties ten opzichte van hun omgeving. Je analyseert invloeden zoals bebouwing, begroeiing en warmtebronnen (bijvoorbeeld asfalt of zonnepanelen) en bepaalt de impact hiervan op de meetkwaliteit.
• Je stelt heldere rapportages op, vertaalt bevindingen naar concrete acties en adviseert over verbeteringen, verplaatsingen of optimalisaties van meetlocaties. Je maakt daarbij afgewogen keuzes over meetkwaliteit, praktische haalbaarheid, operationele continuïteit en toekomstbestendigheid van de waarneeminfrastructuur. Dit geldt voor stations op land, offshore platforms, windparken en scheepswaarnemingen (Voluntary Observing Ships, VOS). Ook voer je verkenningen uit voor nieuwe meetlocaties, conform de richtlijnen van de World Meteorological Organization (WMO).
• Daarnaast onderhoud je intensief contact met stationbeheerders, rederijen, offshore partijen en internationale partners, inclusief locaties op de BES-eilanden.

Jouw team
Samen met 3 collega-inspecteurs sta jij aan de lat om de kwaliteit van data en onze dienstverlening hoog te houden. Jij fungeert als inhoudelijk aanspreekpunt voor je collega’s, Je stimuleert professionalisering binnen het team door opleidingen en kennisdeling te organiseren en doet voorstellen voor procesverbeteringen. Het inspectieteam is onderdeel van het team datakwaliteit waarin 17 collega's met elkaar werken aan de kwaliteit van de waarnemingen vanuit datakwaliteit, de kwaliteit van de sensoren en de kwaliteit van de waarneemvelden.

Meer weten of persoonlijk contact?
Kijk op onze website voor meer informatie over het KNMI. Je kunt ook contact opnemen met Charlotte Spitters, teamleider Datakwaliteit, via 06 11 79 74 60. Zij vertelt je graag meer.

Data scientist

Do you want to work at the forefront of next-generation weather forecasting as a machine learning scientist? High-quality and reliable weather forecasts and weather impact assessments are essential for a safe and livable society. Rapid developments in artificial intelligence (AI) and machine learning (ML) are changing the way weather forecasts are created. Sounds like something for you? Read our vacancy and apply directly!

How you contribute
The Royal Netherlands Meteorological Institute (KNMI) is an international leader in AI/ML research and development for weather forecasting. To support and accelerate this transition, we are looking for a data scientist to help realize the AI/ML ambition of the KNMI.

The KNMI helps various countries in the global south in their challenge to adapt to climate change and the impacts it can have on extreme weather, for example by issuing warnings for extreme weather so that preventive measures can be taken. Within the KNMI Global Programme, collaboration focuses on improving weather forecasts and making early warning systems more effective, among other things.

Your activities

• Within this context, you will work on the development of robust and accessible early warning solutions for Sub-Saharan Africa. The KNMI is already developing and implementing a high-resolution, regional machine learning weather model, as well as observation-based models with a focus on extreme weather conditions.
• You will join the scientists in the KNMI DataLab who are working on this, while also collaborating across departments (e.g., the R&D Satellite Observations department)
• You will investigate whether a machine learning model can be deployed for Sub-Saharan Africa by developing countries.
• You will explore the possibilities and train an initial version of the model. In doing so, you will provide proof of concept or even a minimum usable version that can be deployed quickly.

Your team
The KNMI DataLab is a driven team of scientists with expertise in Data Science and AI/ML. They work on the research and development of data-driven applications. This aligns with the KNMI's ambition to invest in the development and application of AI/ML, and to achieve the optimal combination of AI/ML, physical models, and human interpretation.

We strive for a strong collaborative culture, within the team and with the rest of the KNMI, but also externally: nationally and internationally. An example is our contribution to the Anemoi framework, which is being developed jointly with various European weather institutes, as well as contributions to MLCast. Regularly participating in workshops or hackathons, including in other European countries, may be part of the work.

MLOps Engineer

Do you want to work at the forefront of next generation weather forecasting? At the KNMI, you contribute directly to high quality and reliable weather predictions and impact models that are essential for a safe and livable society. Rapid developments in artificial intelligence and machine learning (AI/ML) are fundamentally changing how weather forecasts are created. The KNMI is internationally leading in AI/ML research and is now moving these innovations into operational use. To accelerate this transition, we are looking for an MLOps engineer who will help bring research into production and further develop a scalable machine learning platform. Want to build technology that truly makes an impact? Apply now.

How you contribute
You ensure that AI/ML models are production ready, scalable and reliable. You help translate research into operational value and contribute to the development of systems that support early warning capabilities and societal impact. As an MLOps engineer, you will be part of the MLOps team responsible for designing, building and maintaining the machine learning platform of the KNMI. You play a key role in bringing models from research to operations and ensuring they run reliably in production environments. Within this role, you focus on the operational side of the R2O cycle and work on scalable infrastructure, automation and monitoring.

Your activities

• design, build and maintain end to end AI/ML pipelines from data ingestion and training to deployment and monitoring
• bring AI/ML models from advanced research stages into operational environments
• build and maintain CI/CD pipelines for AI/ML workflows
• design and improve infrastructure for scalable and reliable model execution
• implement monitoring, logging and validation for model performance and reproducibility
• collaborate closely with AI/ML researchers, engineers, data scientists and stakeholders across product chains
• contribute to improving ways of working, automation and platform maturity

Your team
You will join the MLOps team within the department R&D Observations and Data Technology department. The team focuses on building a reliable and scalable platform for training and inference of complex machine learning models. You will work in a multidisciplinary environment with software engineers, data specialists, AI/ML scientists and domain experts. The department consists of around 40 professionals working in agile teams with a strong DevOps mindset. The working environment is Linux based, with a strong preference for open source and open standards. The team is international and diverse. English is the primary working language.

Scientist climate change

Are you fascinated by how atmospheric processes shape extreme rainfall and how these extremes evolve under climate change? Do you want to contribute to high impact scientific research while working in an international team? At KNMI, you will have the opportunity to deepen our understanding of hydroclimatic extremes and help society better prepare for future risks. For a 4 year research position, we are looking for a scientist climate change based in De Bilt. Do you want to work on cutting edge climate research with real world impact? Apply now.

How you contribute
You contribute to advancing scientific knowledge on extreme rainfall and climate change. Your work helps improve forecasting systems and strengthens society’s ability to anticipate and respond to extreme weather events.

You will work within the Extreme-Futures project, part of a Royal Society Faraday Discovery Fellowship led by Professor Fowler of Newcastle University. The project focuses on improving forecasts of hydroclimatic extremes such as flash floods and prolonged storms, supporting climate resilience and adaptation.

At KNMI, you will work with the Future Weather system, which simulates extreme events across past, present and future climate conditions using pseudo global warming approaches. You will explore how mesoscale atmospheric processes evolve with warming and how these changes affect rainfall patterns across different scales.

Your activities

• design and perform experiments using the Future Weather system
• extend modelling applications towards higher resolution simulations
• tailor model setups to improve understanding of physical processes
• analyse large scale and high resolution model output
• write and publish scientific articles
• collaborate with international researchers across the United Kingdom, Switzerland, Germany and the Netherlands
• contribute to integrating small scale process knowledge with large scale drivers of extremes

Your team
You will be part of an international research collaboration and work within the department research and development of weather and climate models.

The department focuses on developing and applying models for weather prediction, air quality and climate research. Topics include physical processes, data assimilation, long term projections and extreme event analysis. You will collaborate with scientists, developers and external partners such as universities and international research consortia.

Within the KNMI, you will work in a multidisciplinary environment with strong international connections and a clear link between research and operational applications.

NWP scientist

Do you want to contribute to accelerating Europe’s energy transition? We have a vacancy as numerical weather prediction (NWP) scientist at KNMI where you can make this happen. Ready to make a difference? Keep on reading and apply.

How you contribute
KNMI is taking part in the Copernicus project ‘Accelerating Europe’s Energy transition through a tailored Copernicus web portal’, led by the German Weather Service (DWD). One of the tasks in this project is the production of a one-year high-resolution demonstration reanalysis. This dataset, based on Copernicus reanalyses, will incorporate effects of offshore wind farms – an essential factor currently missing from operational products and a major source of uncertainty for the energy sector. By resolving convective clouds, the dataset will also offer considerable added value for the solar industry. The reanalysis will be created using the most recent version of HARMONIE-AROME on a 1-2 km spatial resolution, including 3DVAR data assimilation.

Your activities
In your role as NWP scientist, you will contribute to the following:

• set up HARMONIE-AROME reanalysis suite with latest model version
• work on integrating wind turbines into the model
• test and evaluate the setup of HARMONIE-AROME at various resolutions/domains
• perform the necessary adaptation to feed output to downstream applications
• monitor long-term simulations and deliver and communicate the data to the project
• set up and maintain the code repository in git

Your team
You will join the enthusiastic team working on this project, will be part of the Research and Development of Weather and Climate models (RDWK) department, and will be involved in the larger project consortium.

More information
For any questions regarding the vacancies, you can contact Ben Wichers Schreur, manager, at +31 6 81 33 68 49. Or find out more about what it’s like to work at the KNMI here.