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Join the ESA Φ-lab team and revolutionize the future of Earth Observation with disruptive innovation
Overview
Salary
No salary declared 😔
Location
Frascati, Italy
Expires
Expires at anytime
Organisation Summary
Be part of ESA Φ-lab, a division of the ESA Earth Observation Programme that serves as a catalyst for disruptive innovation in the Earth Observation (EO) sector. We seek to accelerate the future of EO and channel the powers of data science, machine learning, and more.
Role Summary
- Conduct research on agreed topics while supporting other industrial and internal activities of Φ-lab.
- Mentor members of our research network and be involved in various outreach activities.
Role Requirements
- PhD in a field like data science, AI, computer science, machine learning, Earth system science or climate.
- Knowledge of EO, AI, ML and ICT revolution technologies.
- Proven experience in the field of geospatial foundation models, including contributions to top-tier journals or conferences.
- Ability to think innovatively, with a natural curiosity and a passion for new subjects and research areas.
- Experience with one or more general-purpose programming languages, such as Python, and deep learning frameworks, e.g., PyTorch.
Benefits
- Wide network of collaborations with top academia, industry, and research centres.
- Access to high-performance computing infrastructure and EO technology expertise.
- Unique opportunity to work on innovative solutions that can address global challenges.
- Freedom to conduct creative research and significantly contribute to ESA’s strategy and Φ-lab activities.
Our team and mission Reporting to the Head of the Explore Office in the ESA Φ-lab, you will work in close cooperation with other staff in the Directorate of Earth Observation Programmes. You will be part of the ESA Φ-lab. Our mission is to accelerate the future of Earth Observation (EO) by embracing disruptive innovation and serving as the catalyst for disruptive and transformative innovation in the sector.
The role As an internal research fellow within the Φ-lab, you will invest your time mainly in the agreed research topics, but will also provide support to the Φ-lab’s industrial and internal activities. You will also be involved in mentoring of members of our research network, as well as outreach activities, all generally related to your research topic though not exclusively.
Job requirements You should have completed within the past five years or be close to completing a PhD in a relevant field such as data science, AI, computer science, machine learning, Earth system science or climate, with a thesis subject relevant to the description of the tasks outlined above. Sound knowledge of themes of interest, such as EO, AI, ML and ICT revolution technologies; Proven experience in the field of geospatial foundation models, including contributions to top-tier journals or conferences; The ability to think outside the box and explore new avenues, with natural curiosity and a passion for new subjects and research areas; Experience with one or more general-purpose programming languages, for example Python, and general-purpose deep learning frameworks, such as PyTorch.
Benefits We offer a stimulating multinational, interdisciplinary and open work environment; access to high-performance computing infrastructure and unparalleled EO and technology expertise; a unique opportunity to work on innovative solutions to address global challenges; freedom and focus to conduct creative research while making an impact in relation to ESA’s strategy; a wide network of relationships and collaboration with top academia, industry and research centres; the opportunity to contribute to the Φ-lab strategy and activities.
