PostDoc in Artificial Intelligence for Earth Observation

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About the organisation

ESA is an equal opportunity employer, committed to achieving diversity within the workforce and creating an inclusive working environment. Applications from women are encouraged.

About the team

You will be based in the Φ-lab in ESRIN (Frascati, Italy), whose mission is to accelerate the future of Earth Observation (EO), by helping ESA and the European industry, startup and research communities to rapidly adopt disruptive technologies. You will be part of a multi-disciplinary team of researchers and data scientists passionate about innovation, and work within an inspiring and collaborative open-space environment.

Interested candidates are highly encouraged to visit the ESA website.

Fields of research and activities

You will carry out research in the field of Artificial Intelligence (AI) with a particular emphasis on developing new methods applicable to Earth Observation (EO). The specific area of research is partly chosen by you based on your own expertise and partly chosen by the team as to follow strategic directions of the Agency.

In particular, you will:

  • perform your own research, while also contributing to the lab current AI4EO use cases (e.g. multi-sensor data fusion, edge computing, automatic change detection, transfer learning, mining of hyperspectral data);
  • support the team rapidly prototype and evaluate AI solutions for application to EO data sets and challenges, particularly those relevant for ESA EO missions;
  • adapt existing AI algorithms and tools to take account of the specific characteristics of EO data sets, physical measurement principles, and apply them to EO data applications with particular interest in hyperspectral imaging and radar imaging;
  • prepare, validate and maintain large-scale, training data sets, to be used for development and evaluation of AI algorithms, by international research and industrial communities;
  • contribute to the development of an interactive environment for rapid prototyping and testing of new ideas;
  • organise and lead AI4EO challenges on proposed topics;
  • collaborate with academia and industrial partners to transfer research results to applications;
  • publish in peer-review literature;
  • promote/share your results and tools through new digital tools, including social media and Jupyter notebooks;
  • perform and participate in assessments on subjects of strategic interest to ESA.