Fraunhofer-Gesellschaft
Working Student in the Field of Computer Vision(m/w/x)
Part-timeWorking StudentOn-site
Darmstadt
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EUEUMETSAT
Research Fellowship(m/w/x)
Darmstadt, Locarno, Zürich
Part-timeOn-siteExperienced
AI/ML
Data Science
Nejo AI Summary
Developing ML model architectures for satellite data ingestion and implementing them in regional forecasting systems. PhD in a relevant field and experience with satellite data required. Two-year extension possibility, mission-driven public service organization.
Requirements
- PhD in computer science, data science, natural sciences, or related field
- PhD in computer science, data science, natural sciences, or related field
- Good oral and written communication in English and Swiss national language
- Good oral and written communication in English and Swiss national language
- Experience with satellite data
- Strong programming skills in Python
- Experience in machine learning, ideally deep learning architectures
- Experience with high-performance or distributed computing
- Good understanding of meteorological processes and NWP
- Interest in DevOps practices and sustainable software engineering
- Ability to work independently and collaboratively
- Motivation for interdisciplinary and international environment
- National of EUMETSAT Member States
Tasks
- Develop machine-learning model architectures for satellite data ingestion
- Implement models in state-of-the-art regional forecasting systems
- Contribute to the evolution of multi-encoder-decoder MLWP framework
- Train and fine-tune models using large-scale meteorological datasets
- Evaluate model performance across variables and lead times
- Quantify the impact of satellite data on forecast accuracy
- Collaborate with scientists, ML researchers, and forecasting teams
- Ensure forecast outputs meet diverse user needs
- Disseminate findings through scientific publications
- Present results at conferences and to partner institutions
Work Experience
- approx. 1 - 4 years
Education
- Master's degree
Languages
- English – Business Fluent
- German – Business Fluent
- French – Business Fluent
- Italian – Business Fluent
Tools & Technologies
- Python
- graph neural networks
- transformers
- spatio-temporal models
Benefits
Other Benefits
- Possibility of extension for up to two additional years
- Equal opportunities work environment
Informal Culture
- Supportive, motivated, and interdisciplinary team
Social Impact
- Mission-driven public service organization
Purpose-Driven Work
- Opportunity to combine scientific impact, societal relevance, and modern software engineering
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of EUMETSAT and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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EUEUMETSAT
Research Fellowship(m/w/x)
Darmstadt, Locarno, Zürich
Part-timeOn-siteExperienced
AI/ML
Data Science
Nejo AI Summary
Developing ML model architectures for satellite data ingestion and implementing them in regional forecasting systems. PhD in a relevant field and experience with satellite data required. Two-year extension possibility, mission-driven public service organization.
Requirements
- PhD in computer science, data science, natural sciences, or related field
- PhD in computer science, data science, natural sciences, or related field
- Good oral and written communication in English and Swiss national language
- Good oral and written communication in English and Swiss national language
- Experience with satellite data
- Strong programming skills in Python
- Experience in machine learning, ideally deep learning architectures
- Experience with high-performance or distributed computing
- Good understanding of meteorological processes and NWP
- Interest in DevOps practices and sustainable software engineering
- Ability to work independently and collaboratively
- Motivation for interdisciplinary and international environment
- National of EUMETSAT Member States
Tasks
- Develop machine-learning model architectures for satellite data ingestion
- Implement models in state-of-the-art regional forecasting systems
- Contribute to the evolution of multi-encoder-decoder MLWP framework
- Train and fine-tune models using large-scale meteorological datasets
- Evaluate model performance across variables and lead times
- Quantify the impact of satellite data on forecast accuracy
- Collaborate with scientists, ML researchers, and forecasting teams
- Ensure forecast outputs meet diverse user needs
- Disseminate findings through scientific publications
- Present results at conferences and to partner institutions
Work Experience
- approx. 1 - 4 years
Education
- Master's degree
Languages
- English – Business Fluent
- German – Business Fluent
- French – Business Fluent
- Italian – Business Fluent
Tools & Technologies
- Python
- graph neural networks
- transformers
- spatio-temporal models
Benefits
Other Benefits
- Possibility of extension for up to two additional years
- Equal opportunities work environment
Informal Culture
- Supportive, motivated, and interdisciplinary team
Social Impact
- Mission-driven public service organization
Purpose-Driven Work
- Opportunity to combine scientific impact, societal relevance, and modern software engineering
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of EUMETSAT and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
EUMETSAT
Industry
Science
Description
EUMETSAT is Europe’s meteorological satellite agency, operating satellites that deliver weather and climate-related data worldwide.
Not a perfect match?
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