Fraunhofer-Gesellschaft
Working Student in the Field of Computer Vision(m/w/x)
TeilzeitWerkstudentnur vor Ort
Darmstadt
Neuer Job?Nejo!
Dein persönlicher KI-Karriere-Agent
EUEUMETSAT
Research Fellowship(m/w/x)
Darmstadt, Locarno, Zürich
TeilzeitVor OrtBerufserfahren
AI/ML
Data Science
Nejo KI-Zusammenfassung
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.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- ca. 1 - 4 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
- Deutsch – verhandlungssicher
- Französisch – verhandlungssicher
- Italienisch – verhandlungssicher
Tools & Technologien
- Python
- graph neural networks
- transformers
- spatio-temporal models
Benefits
Sonstige Vorteile
- Possibility of extension for up to two additional years
- Equal opportunities work environment
Lockere Unternehmenskultur
- Supportive, motivated, and interdisciplinary team
Gemeinnützige Ausrichtung
- Mission-driven public service organization
Sinnstiftende Arbeit
- Opportunity to combine scientific impact, societal relevance, and modern software engineering
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens EUMETSAT erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Noch nicht perfekt?
- Fraunhofer-Gesellschaft
Student Assistant for the VisPer Project(m/w/x)
TeilzeitWerkstudentnur vor OrtDarmstadt - Fraunhofer-Gesellschaft
Working Student in the Field of NLP(m/w/x)
TeilzeitWerkstudentnur vor OrtDarmstadt - SUSONITY
Software Engineer Bioelectronics Interfaces(m/w/x)
Vollzeit/Teilzeitnur vor OrtSeniorDarmstadt - Telespazio Germany GmbH
Working Student - Software Development and Validation(m/w/x)
Vollzeit/TeilzeitWerkstudentnur vor OrtDarmstadt
EUEUMETSAT
Research Fellowship(m/w/x)
Darmstadt, Locarno, Zürich
TeilzeitVor OrtBerufserfahren
AI/ML
Data Science
Nejo KI-Zusammenfassung
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.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- ca. 1 - 4 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
- Deutsch – verhandlungssicher
- Französisch – verhandlungssicher
- Italienisch – verhandlungssicher
Tools & Technologien
- Python
- graph neural networks
- transformers
- spatio-temporal models
Benefits
Sonstige Vorteile
- Possibility of extension for up to two additional years
- Equal opportunities work environment
Lockere Unternehmenskultur
- Supportive, motivated, and interdisciplinary team
Gemeinnützige Ausrichtung
- Mission-driven public service organization
Sinnstiftende Arbeit
- Opportunity to combine scientific impact, societal relevance, and modern software engineering
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens EUMETSAT erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Über das Unternehmen
EUMETSAT
Branche
Science
Beschreibung
EUMETSAT is Europe’s meteorological satellite agency, operating satellites that deliver weather and climate-related data worldwide.
Noch nicht perfekt?
- Fraunhofer-Gesellschaft
Working Student in the Field of Computer Vision(m/w/x)
TeilzeitWerkstudentnur vor OrtDarmstadt - Fraunhofer-Gesellschaft
Student Assistant for the VisPer Project(m/w/x)
TeilzeitWerkstudentnur vor OrtDarmstadt - Fraunhofer-Gesellschaft
Working Student in the Field of NLP(m/w/x)
TeilzeitWerkstudentnur vor OrtDarmstadt - SUSONITY
Software Engineer Bioelectronics Interfaces(m/w/x)
Vollzeit/Teilzeitnur vor OrtSeniorDarmstadt - Telespazio Germany GmbH
Working Student - Software Development and Validation(m/w/x)
Vollzeit/TeilzeitWerkstudentnur vor OrtDarmstadt