Functieomschrijving
Are you passionate about advancing weather modeling using cutting-edge technology? Join the Royal Netherlands Meteorological Institute (KNMI) in the AI work package of the Destination Earth (DE) On-Demand Extremes Digital Twin (DE_330_MF) project, where we push the future of high-resolution weather forecasts through deep learning. We are looking for a data scientist to help develop a model that matches the accuracy of our Harmonie-Arome model, especially for extreme weather. Collaborate with top meteorological institutes across Europe and shape the next generation of weather modeling.
What will you be doing?
As part of the Data Science cluster in the R&D Weather and Climate Models department, we are driving the development, maintenance, and application of several cutting-edge machine learning models. Our focus is on advancing ML methods for post-processing of numerical weather prediction (NWP) model output, as well as pioneering a data-driven weather model using machine learning - a task where you will play a key role. You'll contribute to the development of a stretched-grid version of ECMWF's AIFS weather model, leveraging a 40-year ERA5 re-analysis archive and a 13-year high-resolution (2.5 km) re-analysis archive from our NWP model, Harmonie-Arome.
Additionally, you will compare the performance of the forecasts from the stretched-grid weather model with those from Harmonie-Arome.
This exciting work is part of the DE_330_MF project. You'll be part of the AI work package, collaborating with leading European meteorological institutes to develop high-resolution versions of AIFS for Europe.
This gives you energy
You thrive on solving complex challenges and pushing the boundaries of weather modeling through innovative machine learning techniques. You get excited by working with large, detailed datasets and collaborating with international experts to drive forward groundbreaking projects that have a direct impact on weather forecasts.
Our unique task is the gathering of information about the atmosphere and the subsurface and the translation of that information to risks for society.
Would you like to learn more about how we strive to make our high-quality knowledge and information in the area of weather, climate, and seismology operationally available? You'll read more about it on our website.
Functie-eisen
- you hold an MSc in data science or a related field, with a focus on machine learning
- you have hands-on experience developing deep learning models using PyTorch
Je herkent je in de volgende eigenschappen:-
You are eager to continuously expand your expertise in machine learning and are fluent in English, with knowledge of Dutch or the willingness to learn it being a bonus. An interest in weather forecasting models adds to your enthusiasm, and experience with data-driven weather models like AIFS (from ECMWF) or Anemoi (Anemoi: catalogue (ecmwf.int) is a strong advantage. You naturally thrive in a collaborative, team-oriented environment, where your contributions help drive the team's success. As a data scientist, you enjoy working in a team, always keeping both the team's and the organization's goals in mind. In addition, you are at ease in a scientific, international setting, where your excellent communication and writing skills allow you to engage effectively.
Arbeidsvoorwaarden
- Salarisniveau schaal 10
- Maandsalaris Min €3.404 - Max. €5.389 (bruto)
- Dienstverband Arbeidsovereenkomst voor bepaalde tijd
- Contractduur 16 months
- Minimaal aantal uren per week 36
- Maximaal aantal uren per week 36
Overige arbeidsvoorwaarden
Plenty of growth and development opportunities
The central government attaches great importance to personal growth and career development and offers numerous opportunities for this. These include attending training courses and obtaining certifications. We also offer career coaching if you need it.
Interesting extras
In addition to your salary, you receive an individual choice budget (IKB) consisting of vacation pay of 8% and an annual end-of-year bonus. This IKB consists of money (16.37% of your gross annual salary) and/or time. With the IKB you make the choices that suit you and you can compose part of your terms of employment yourself. For example, you can have part of your monthly income paid out whenever you wish, convert the IKB into leave or spend it on tax-friendly objectives. Our other fringe benefits include company fitness and full reimbursement of your commuting expenses.
Bijzonderheden
- once we have found the right candidate, we close the vacancy
- starting date: January 1 2025 - we're eager to have you join us
- obtaining references can be part of the application process. An (online) pre-selection test, an assessment, making a case and (online) screening via databases, among others, can be part of the application process
Acquisition in response to this vacancy is not appreciated.
Ga direct naar hoofdcontent Logo Werken voor Nederland - Home Menu Zoeken Naar overzicht (English) Data scientist data-driven weather model Royal Dutch Meteorological Institute (KNMI) Delen LinkedIn Facebook Whatsapp Vacature bewaren- De Bilt - route
- Master/doctoraal
- 36 uur
- schaal 10
€3.404 - €5.389 (bruto) - Onderzoek / wetenschap
- Solliciteer voor 11 oktober 2024 Nog 14 dagen
- Arbeidsovereenkomst voor bepaalde tijd
Functieomschrijving
Are you passionate about advancing weather modeling using cutting-edge technology? Join the Royal Netherlands Meteorological Institute (KNMI) in the AI work package of the Destination Earth (DE) On-Demand Extremes Digital Twin (DE_330_MF) project, where we push the future of high-resolution weather forecasts through deep learning. We are looking for a data scientist to help develop a model that matches the accuracy of our Harmonie-Arome model, especially for extreme weather. Collaborate with top meteorological institutes across Europe and shape the next generation of weather modeling.
What will you be doing?
As part of the Data Science cluster in the R&D Weather and Climate Models department, we are driving the development, maintenance, and application of several cutting-edge machine learning models. Our focus is on advancing ML methods for post-processing of numerical weather prediction (NWP) model output, as well as pioneering a data-driven weather model using machine learning - a task where you will play a key role. You'll contribute to the development of a stretched-grid version of ECMWF's AIFS weather model, leveraging a 40-year ERA5 re-analysis archive and a 13-year high-resolution (2.5 km) re-analysis archive from our NWP model, Harmonie-Arome.
Additionally, you will compare the performance of the forecasts from the stretched-grid weather model with those from Harmonie-Arome.
This exciting work is part of the DE_330_MF project. You'll be part of the AI work package, collaborating with leading European meteorological institutes to develop high-resolution versions of AIFS for Europe.
This gives you energy
You thrive on solving complex challenges and pushing the boundaries of weather modeling through innovative machine learning techniques. You get excited by working with large, detailed datasets and collaborating with international experts to drive forward groundbreaking projects that have a direct impact on weather forecasts.
Our unique task is the gathering of information about the atmosphere and the subsurface and the translation of that information to risks for society.
Would you like to learn more about how we strive to make our high-quality knowledge and information in the area of weather, climate, and seismology operationally available? You'll read more about it on our website.
Functie-eisen
- you hold an MSc in data science or a related field, with a focus on machine learning
- you have hands-on experience developing deep learning models using PyTorch
Je herkent je in de volgende eigenschappen:-
You are eager to continuously expand your expertise in machine learning and are fluent in English, with knowledge of Dutch or the willingness to learn it being a bonus. An interest in weather forecasting models adds to your enthusiasm, and experience with data-driven weather models like AIFS (from ECMWF) or Anemoi (Anemoi: catalogue (ecmwf.int) is a strong advantage. You naturally thrive in a collaborative, team-oriented environment, where your contributions help drive the team's success. As a data scientist, you enjoy working in a team, always keeping both the team's and the organization's goals in mind. In addition, you are at ease in a scientific, international setting, where your excellent communication and writing skills allow you to engage effectively.
Arbeidsvoorwaarden
- Salarisniveau schaal 10
- Maandsalaris Min €3.404 - Max. €5.389 (bruto)
- Dienstverband Arbeidsovereenkomst voor bepaalde tijd
- Contractduur 16 months
- Minimaal aantal uren per week 36
- Maximaal aantal uren per week 36
Overige arbeidsvoorwaarden
Plenty of growth and development opportunities
The central government attaches great importance to personal growth and career development and offers numerous opportunities for this. These include attending training courses and obtaining certifications. We also offer career coaching if you need it.
Interesting extras
In addition to your salary, you receive an individual choice budget (IKB) consisting of vacation pay of 8% and an annual end-of-year bonus. This IKB consists of money (16.37% of your gross annual salary) and/or time. With the IKB you make the choices that suit you and you can compose part of your terms of employment yourself. For example, you can have part of your monthly income paid out whenever you wish, convert the IKB into leave or spend it on tax-friendly objectives. Our other fringe benefits include company fitness and full reimbursement of your commuting expenses.
Bijzonderheden
- apply immediately, we look forward to it!
- once we have found the right candidate, we close the vacancy
- starting date: January 1 2025 - we're eager to have you join us
- obtaining references can be part of the application process. An (online) pre-selection test, an assessment, making a case and (online) screening via databases, among others, can be part of the application process
Acquisition in response to this vacancy is not appreciated.
Meer over jouw toekomstige afdeling
The department Research and Development of Weather and Climate models (RDWK) investigates and develops research tools for weather and air quality prediction applications and climate research. We work on detailed physical processes, data assimilation, long term climate projections and practical applications including storm surge forecasts and statistics of extremes. RDWK participates in international projects directed towards a variety of weather and climate related research and development areas. The department has a strong international network.
The department performs its activities in collaboration with partners like ACCORD, EC-Earth, the European Centre for Medium-Range Weather Forecasts and universities. We work for the national road and water authority Rijkswaterstaat, the Ministry for Infrastructure and Water Management, the Dutch research funding organisation (NWO), the European Copernicus programme and other European research programmes; and on servicing the operational weather forecast centre, climate scenarios and strategic research. The department collaborates with the other KNMI departments.
Royal Dutch Meteorological Institute (KNMI)
The weather is temperamental, the ground moves and the climate changes. For our safety and prosperity, we need to know what risks and opportunities this brings. And: how we can best prepare ourselves. The Royal Dutch Meteorological Institute (KNMI) is the national knowledge and data center for weather, climate and seismology. Reliable, independent and focused on what the Netherlands needs. For a safe Netherlands that is prepared for the impact of weather, climate and earthquakes.
We use our core values - Development, Cooperation and Relevance - to achieve our ambition, both within and outside KNMI, nationally and internationally. We develop our knowledge and expertise and work together to create a single KNMI that makes a difference to society!
Talent as the basis, diversity as the strength
The KNMI is an inclusive organization. An organization that provides space for everyone and uses the strength of its diverse workforce to achieve better results together for the Netherlands. Inclusive means that everyone feels involved and valued; not in spite of their differences, but thanks to them.
Organisationally, KNMI falls under the Ministry of Infrastructure and Water Management.
The Ministry of Infrastructure and Water Management (IenW) is committed to a safe, accessible and liveable Netherlands. That is why the Ministry is working on powerful connections by road, rail, water and air. And IenW protects against flooding, ensures the quality of air, water and soil and the realization of a circular economy.
Solliciteren?
Royal Dutch Meteorological Institute (KNMI) nodigt je uit op hun site te solliciteren. Via onderstaande knop verlaat je deze site en ga je direct naar het sollicitatieformulier. Het Rijk hecht waarde aan een diverse en inclusieve organisatie. Werken in divers samengestelde teams maakt ons effectiever, innovatiever en het werk leuker. Eenieder wordt daarom uitgenodigd te solliciteren.
Bekijk bewaarde vacatures Scroll naar de top van de pagina Ga direct naar hoofdcontent Logo Werken voor Nederland - Home Menu Zoeken Naar overzicht (English) Data scientist data-driven weather model Royal Dutch Meteorological Institute (KNMI) Delen LinkedIn Facebook Whatsapp Mail Print Vacature bewaren Solliciteren- De Bilt - route
- Master/doctoraal
- 36 uur
- schaal 10
€3.404 - €5.389 (bruto) - Onderzoek / wetenschap
- Solliciteer voor 11 oktober 2024 Nog 14 dagen
- Arbeidsovereenkomst voor bepaalde tijd
Functieomschrijving
Are you passionate about advancing weather modeling using cutting-edge technology? Join the Royal Netherlands Meteorological Institute (KNMI) in the AI work package of the Destination Earth (DE) On-Demand Extremes Digital Twin (DE_330_MF) project, where we push the future of high-resolution weather forecasts through deep learning. We are looking for a data scientist to help develop a model that matches the accuracy of our Harmonie-Arome model, especially for extreme weather. Collaborate with top meteorological institutes across Europe and shape the next generation of weather modeling.
What will you be doing?
As part of the Data Science cluster in the R&D Weather and Climate Models department, we are driving the development, maintenance, and application of several cutting-edge machine learning models. Our focus is on advancing ML methods for post-processing of numerical weather prediction (NWP) model output, as well as pioneering a data-driven weather model using machine learning - a task where you will play a key role. You'll contribute to the development of a stretched-grid version of ECMWF's AIFS weather model, leveraging a 40-year ERA5 re-analysis archive and a 13-year high-resolution (2.5 km) re-analysis archive from our NWP model, Harmonie-Arome.
Additionally, you will compare the performance of the forecasts from the stretched-grid weather model with those from Harmonie-Arome.
This exciting work is part of the DE_330_MF project. You'll be part of the AI work package, collaborating with leading European meteorological institutes to develop high-resolution versions of AIFS for Europe.
This gives you energy
You thrive on solving complex challenges and pushing the boundaries of weather modeling through innovative machine learning techniques. You get excited by working with large, detailed datasets and collaborating with international experts to drive forward groundbreaking projects that have a direct impact on weather forecasts.
Would you like to know more?
We understand that you might want to learn more about this position. Feel free to contact Maurice Schmeits, coordinator of the Data Science cluster, at +31 (0)6 - 15648902 or Ben Wichers Schreur, team leader, at +31 6 81336849. They will be happy to assist you!
Our unique task is the gathering of information about the atmosphere and the subsurface and the translation of that information to risks for society.
Would you like to learn more about how we strive to make our high-quality knowledge and information in the area of weather, climate, and seismology operationally available? You'll read more about it on our website.
Functie-eisen
- you hold an MSc in data science or a related field, with a focus on machine learning
- you have hands-on experience developing deep learning models using PyTorch
Je herkent je in de volgende eigenschappen:-
You are eager to continuously expand your expertise in machine learning and are fluent in English, with knowledge of Dutch or the willingness to learn it being a bonus. An interest in weather forecasting models adds to your enthusiasm, and experience with data-driven weather models like AIFS (from ECMWF) or Anemoi (Anemoi: catalogue (ecmwf.int) is a strong advantage. You naturally thrive in a collaborative, team-oriented environment, where your contributions help drive the team's success. As a data scientist, you enjoy working in a team, always keeping both the team's and the organization's goals in mind. In addition, you are at ease in a scientific, international setting, where your excellent communication and writing skills allow you to engage effectively.
Arbeidsvoorwaarden
- Salarisniveau schaal 10
- Maandsalaris Min €3.404 - Max. €5.389 (bruto)
- Dienstverband Arbeidsovereenkomst voor bepaalde tijd
- Contractduur 16 months
- Minimaal aantal uren per week 36
- Maximaal aantal uren per week 36
Overige arbeidsvoorwaarden
Plenty of growth and development opportunities
The central government attaches great importance to personal growth and career development and offers numerous opportunities for this. These include attending training courses and obtaining certifications. We also offer career coaching if you need it.
Interesting extras
In addition to your salary, you receive an individual choice budget (IKB) consisting of vacation pay of 8% and an annual end-of-year bonus. This IKB consists of money (16.37% of your gross annual salary) and/or time. With the IKB you make the choices that suit you and you can compose part of your terms of employment yourself. For example, you can have part of your monthly income paid out whenever you wish, convert the IKB into leave or spend it on tax-friendly objectives. Our other fringe benefits include company fitness and full reimbursement of your commuting expenses.
Bijzonderheden
- apply immediately, we look forward to it!
- once we have found the right candidate, we close the vacancy
- starting date: January 1 2025 - we're eager to have you join us
- obtaining references can be part of the application process. An (online) pre-selection test, an assessment, making a case and (online) screening via databases, among others, can be part of the application process
Acquisition in response to this vacancy is not appreciated.
Meer over jouw toekomstige afdeling
The department Research and Development of Weather and Climate models (RDWK) investigates and develops research tools for weather and air quality prediction applications and climate research. We work on detailed physical processes, data assimilation, long term climate projections and practical applications including storm surge forecasts and statistics of extremes. RDWK participates in international projects directed towards a variety of weather and climate related research and development areas. The department has a strong international network.
The department performs its activities in collaboration with partners like ACCORD, EC-Earth, the European Centre for Medium-Range Weather Forecasts and universities. We work for the national road and water authority Rijkswaterstaat, the Ministry for Infrastructure and Water Management, the Dutch research funding organisation (NWO), the European Copernicus programme and other European research programmes; and on servicing the operational weather forecast centre, climate scenarios and strategic research. The department collaborates with the other KNMI departments.
Royal Dutch Meteorological Institute (KNMI)
The weather is temperamental, the ground moves and the climate changes. For our safety and prosperity, we need to know what risks and opportunities this brings. And: how we can best prepare ourselves. The Royal Dutch Meteorological Institute (KNMI) is the national knowledge and data center for weather, climate and seismology. Reliable, independent and focused on what the Netherlands needs. For a safe Netherlands that is prepared for the impact of weather, climate and earthquakes.
We use our core values - Development, Cooperation and Relevance - to achieve our ambition, both within and outside KNMI, nationally and internationally. We develop our knowledge and expertise and work together to create a single KNMI that makes a difference to society!
Talent as the basis, diversity as the strength
The KNMI is an inclusive organization. An organization that provides space for everyone and uses the strength of its diverse workforce to achieve better results together for the Netherlands. Inclusive means that everyone feels involved and valued; not in spite of their differences, but thanks to them.
Organisationally, KNMI falls under the Ministry of Infrastructure and Water Management.
The Ministry of Infrastructure and Water Management (IenW) is committed to a safe, accessible and liveable Netherlands. That is why the Ministry is working on powerful connections by road, rail, water and air. And IenW protects against flooding, ensures the quality of air, water and soil and the realization of a circular economy.
Stel gerust je vraag
Meer informatie over deze vacature Ben Wichers Schreur, teamleader 06-81336849 Meer informatie over de sollicitatieprocedure 06-57499672Solliciteren?
Royal Dutch Meteorological Institute (KNMI) nodigt je uit op hun site te solliciteren. Via onderstaande knop verlaat je deze site en ga je direct naar het sollicitatieformulier. Het Rijk hecht waarde aan een diverse en inclusieve organisatie. Werken in divers samengestelde teams maakt ons effectiever, innovatiever en het werk leuker. Eenieder wordt daarom uitgenodigd te solliciteren.
Solliciteren op externe site Bekijk bewaarde vacatures Scroll naar de top van de pagina- you hold an MSc in data science or a related field, with a focus on machine learning
- you have hands-on experience developing deep learning models using PyTorch
Je herkent je in de volgende eigenschappen:-
You are eager to continuously expand your expertise in machine learning and are fluent in English, with knowledge of Dutch or the willingness to learn it being a bonus. An interest in weather forecasting models adds to your enthusiasm, and experience with data-driven weather models like AIFS (from ECMWF) or Anemoi (Anemoi: catalogue (ecmwf.int) is a strong advantage. You naturally thrive in a collaborative, team-oriented environment, where your contributions help drive the team's success. As a data scientist, you enjoy working in a team, always keeping both the team's and the organization's goals in mind. In addition, you are at ease in a scientific, international setting, where your excellent communication and writing skills allow you to engage effectively.
Het salaris bedraagt €3404 - €5389