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Internal Research Fellow (Post-Doctoral) in Disruptive Innovation for Green and Sustainable Future

European Space Agency

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Posted over 30 days ago...

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Join ESA's Φ-lab as a Disruptive Innovation Research Fellow to shape a sustainable future through cutting-edge Earth Observation technology.

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No salary declared 😔

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Frascati, Italy

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Expires at anytime

The European Space Agency (ESA) is on the forefront of using space technology to understand and protect our planet. Situated in the charming town of Frascati, Italy, ESRIN is ESA's center for Earth Observation. At ESA's Φ-lab, we are committed to fostering disruptive innovation to advance the field of Earth Observation (EO) and catalyze transformative solutions for a greener future.

  • Conduct pioneering research integrating space and ground-based EO with disruptive technologies.
  • Develop AI algorithms for green energy facility placement and renewable energy forecasting.
  • Enhance the accuracy of low-cost air sensing monitors.
  • PhD in data science, AI, computer science, machine learning, earth system science, climate science, or a related field.
  • Expertise in EO, AI, ML, quantum computing, ICT, and edge computing.

The European Space Agency is seeking an Internal Research Fellow (Post-Doctoral) in Disruptive Innovation for Green and Sustainable Future. The role is based at ESRIN, our establishment in Frascati, Italy.

As part of the Directorate of Earth Observation Programmes, you will report to the Head of the Explore Office in the ESA Φ-lab. Our mission is to accelerate the future of Earth Observation (EO) by embracing disruptive innovation and acting as a catalyst for disruptive/transformative innovation in the sector.

Your research will aim to explore the use of space and ground-based EO products integrated with disruptive technologies to address green solutions for a sustainable future. This will involve deploying AI-automated algorithms to identify suitable locations for new green energy facilities, forecast short-range renewable energy production, quantify the uncertainty of low-cost real-time air sensing monitors, and more.

You should have recently completed or be close to completing a PhD in a relevant field such as data science, AI, Computer Science, machine Learning, Earth System Science, Climate etc. You should also have sound knowledge of themes of interest, such as EO, AI, ML, Quantum Computing, ICT revolution technologies in general, Edge Computing, etc.

We offer a stimulating multinational and interdisciplinary open work environment, access to high-performance computing infrastructure and dedicated EO and technology expertise, and a unique opportunity to work on innovative solutions to address global problems.

Please note that applications are only considered from nationals of one of the following States: Austria, Belgium, the Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Luxembourg, the Netherlands, Norway, Poland, Portugal, Romania, Spain, Sweden, Switzerland, and the United Kingdom. Nationals from Latvia, Lithuania, Slovakia and Slovenia, as Associate Member States, or Canada as a Cooperating State, can apply as well as those from Bulgaria, Croatia and Cyprus as European Cooperating States (ECS).

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