Internal Research Fellow

2 settimane fa

Frascati, Lazio, Italia European Space Agency A tempo pieno

Job Req ID:17561
Closing Date:11 September :59 CET/CEST
Publication:External Only
Vacancy Type:Internal Research Fellow
Date Posted:17 July 2023- Internal Research Fellowship Opportunity in the Directorate of Earth Observation Programmes.-
Post

Internal Research Fellow (PostDoc) in Machine Learning for Earth Observation and Prediction (ML4EOP)

  • This post is classified F2 on the Coordinated Organisations' salary scale.
    Location
ESRIN, Frascati, Italy
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 members of the Directorate of Earth Observation Programmes.

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Field(s) of activity/research for the traineeship
This research fellowship will be a research opportunity in collaboration with the European Centre for Medium-Range Weather Forecasts (ECMWF).

At the end of the two-year stint at ESA, you may have the opportunity to continue your research at the ECMWF as part of the collaboration if the topic and results are deemed valuable.


  • In this context, this fellowship will address the use of

innovative EO-based solutions to enhance climate resilience by integrating with ML a variety of data types and sources, such as the Internet of Things (IoT), EO and ground-based measurements.
The following themes related to enhancing climate resilience with EO, AI and modelling are of particular interest for the collaboration:

  • Improved forecasting of renewable energy production (such as solar) with physics-informed neural networks;
  • Live detection and prediction of extreme events (such as floods) with stateoftheart iterative AI pipelines fusing EO data and modelling capabilities;
  • Use of generative AI techniques together with multivariate EO data sets (e.g. Climate Change Initiative) to develop and visualise the new generation of fused EO products supporting climate adaptation.

In particular, you will:
-
undertake advanced research activities exploring the use of state-of-the-art digital techniques such as AI to develop new frameworks to enhance the climate resilience of our society and economy in partnership with wider ESA and ECMWF teams. Research can cover a wide range of innovative topics from the development of novel methods, algorithms and ML iterative pipelines to high-level data fusion products;
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support the definition and implementation of rapid prototyping activities, research sprints and open challenges of innovative EO solutions addressing upcoming lab activities and wider strategy;
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engage with the innovation ecosystem to promote uptake of new techniques and capture the latest developments in EO and digital technologies such as AI, blockchain and new computing paradigms;
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publish the research project outcomes in high-impact journals;
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drive collaboration with the AI4EO and global change community, ESA and ECMWF internal teams to promote the uptake of these new techniques and solutions.

Technical competencies
Knowledge relevant to the field of research
Research/publication record
Ability to conduct research autonomously
Breadth of exposure coming from past and/or current research/activities
Ability to gather and share relevant information
General interest in space and space research

Behavioural competencies
Result Orientation
Operational Efficiency
Fostering Cooperation
Relationship Management
Continuous Improvement
Forward Thinking

Education
-
Additional requirements

You should also have:
- sound knowledge of themes of interest, such as EO, AI, and climate change adaptation and/or mitigation;
- proven experience in leading research, with international recognition;
- the ability to work in a multicultural environment as part of a team;
- experience with one or more general-purpose programming languages (e.g. Python) and with general-purpose deep learning frameworks such as Tensorflow or PyTorch;
- the ability to deliver high-quality research and publish in high-level journals.

The working languages of the Agency are English and French. A good knowledge of one of these is required. Knowledge of another Member State language would be an asset.

Other information

  • For behavioural competencies expected from ESA staff in general, please refer to the ESA Competency Framework.
  • For further information on the Internal Research Fellowship Programme please visit: Internal Research Fellowship
  • The Agency may require applicants to undergo selection tests.
Member States, Associate Members or Cooperating States.

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