Internal Research Fellow

1 settimana fa

Frascati, Italia European Space Agency A tempo pieno

**EUROPEAN SPACE AGENCY**

Internal Research Fellow (PostDoc) in NGGM-MAGIC and AI-enabled operational hydrology

**Job Requisition ID**:18733**Closing Date**:17 July 2024 23:59 CET/CEST**Publication**:External Only**Type of Contract**:Internal Research Fellow**Date Posted**:26 June 2024- Internal Research Fellowship Opportunity in the Directorate of Earth Observation Programmes.-
- 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 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 acting as the catalyst for disruptive/transformative innovation in the sector.
We offer:

- a stimulating multinational and interdisciplinary 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 challenge freedom and focus to conduct creative research while making an impact related to ESA strategy a wide network of relationships and collaborations with top academic, industry and research centres the possibility to contribute to the Φ-lab strategy and activities
-

**Field(s) of activity/research for the traineeship**
ESA’s Next Generation Gravity Mission (NGGM) and ESA-NASA MAss Change and Geosciences International Constellation (MAGIC) will provide enhanced mass change products at pre-operational level which will contribute to a sustainable approach to water management. These planned missions offer unique hydrological capabilities by monitoring three Essential Climate Variables (ECVs): Terrestrial Water Storage (TWS), Groundwater Storage (GWS) and Anthropogenic Water Use (AWS). NGGM and MAGIC Level-2 and Level-3 simulated products are available from ESA-funded science support activities and are generated by means of realistic fully-fledged simulations during the mission design and implementation phases. Level-2 products are global gravity field products in terms of spherical harmonic coefficients up to a maximum degree and order which depend on the product period. Level-3 products are 1 degree latitude-longitude grid TWS products which typically include additional corrections.

The aim of this fellowship is to perform a multistep approach to enrich our knowledge of the global water cycle and contribute to mitigation strategies related to the water availability crisis.
The steps would include the following:

**STEP 1**: Generate Level-4 NGGM/MAGIC products from Level-2 and Level-3 simulated data through AI-assisted physics-informed data fusion models (supported by other EO data, such as SMOS, SMAP, Sentinel-1 and SWOT).
**STEP 2**: Decompose the Generated-Level-4 products based on EO products to separate the TWS water column into individual signal components (including groundwater and soil moisture) through AI-based signal processing techniques (such as AI and Fast Fourier Transform).
**STEP 3**: Integrate Generated-Level-4 products as a component into a Digital Twin (DT) Hydrology for early warning systems to provide additional input for AI-based forecasting models related to extreme events (such as floods and droughts).
In particular, you will:

- undertake advanced research activities exploring and expanding the use of disruptive/transformative innovation such as AI, ML, Quantum Computing, Edge Computing, etcto develop new frameworks and solutions. Research can cover a wide range of innovative topics from the development of novel methods, algorithms and ML iterative pipelines to high-level products;
- support the definition and implementation of rapid prototyping activities, research sprints and open challenges of innovative EO solutions addressing upcoming lab activities and a wider strategy;
- engage with the innovation ecosystem to promote the uptake of new techniques and capture the latest developments in EO and disruptive/transformative innovation;
- publish the research project outcomes in high-impact journals;
- drive collaboration within the Φ-lab community and ESA internal teams to promote the uptake of these new techniques and solutions;
- contribute to the Φ-lab strategy, activities and outreach on disruptive technologies for EO;
- maintain a continuous dialogue with the scientific community, including major international programmes and initiatives in the fields of AI, ML, Quantum Computing, Edge Computing, etc ;
- support the Φ-lab’s research network of Young Graduate Trainees, National Trainees, Interns and Visiting Researchers, as applicable.

**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

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