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Internal Research Fellow (PostDoc) in EarthCARE products, algorithms and Cal/Val

Published
Closing Date
WorkplaceEsrin, Frascati, ITALY, All regions, Italy
Category
Position

EarthCARE, ESA’s cloud, aerosol and radiation mission, is the next ESA Earth Explorer research mission to be launched under the Earth Observation programme, and is developed in a joint venture with JAXA. With its cutting-edge High Spectral Resolution Lidar and Doppler Radar as well as a multispectral imager and a broadband radiometer, it is the most complex Earth Explorer mission to date, with highly branched data processing chains designed to best exploit the synergies among the different instruments. Following the Open Science approach, the aim is to develop algorithm and Cal/Val methodologies (including the Cal/Val reference data set) in a collaborative environment based on modern, innovative technologies.

We are looking for a Research Fellow to join our team in charge of sensor performance, data quality, algorithm development, calibration and validation for ESA EO missions.

Location
ESRIN, Frascati, Italy

Description

As part of the ESA EarthCARE team in ESRIN, contributing to Cal/Val, payload algorithm and science activities, you will be involved in the following:

  • Exploring novel calibration algorithms, products, and tools to maximise the impact of the EarthCARE mission;
  • Studying novel approaches and developments related to the calibration and validation of the mission products in interaction with the relevant Cal/Val, science and campaign communities;
  • Conducting dedicated research on the potential evolution of the mission-processing algorithms and tools and their impact on the scientific return;
  • Exploring potential synergies between EarthCARE and other missions, and related developments and activities regarding product quality;
  • Contributing to the definition and evolution of a collaborative framework for facilitating the development of the algorithms and the Cal/Val, following the Open Science approach.

Requirements

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

Education

  • You should have recently completed, or be close to completing, a PhD in EO remote sensing, atmospheric physics, meteorology, engineering or applied science, with research experience in topics relevant to the field of research proposed. Preference will be given to candidates awarded their doctorate within the past five years.

Additional requirements
The following would also be considered an asset:

  • Experience with EO remote sensing algorithm development and EO product validation;
  • Familiarity with the EarthCARE mission and its objectives;
  • A track record in cloud and aerosol remote sensing, radiative transfer, Cloudradar, Lidar and/or EO algorithm development.

You should also have :

  • good analytical and communication skills;
  • the ability to work autonomously in a multi-cultural environment.

We offer

A stimulating and inspiring working environment is just one of the benefits of working at ESA. Other advantages include competitive salaries, flexible and teleworking arrangements promoting work-life balance, relocation support and comprehensive health coverage.

Diversity and inclusiveness are at the heart of ESA’s values. We therefore welcome applications from all qualified candidates irrespective of gender, sexual orientation, ethnicity, beliefs, age, disability or other characteristics. Applications from women are encouraged.

Contact and Address

For more information please click APPLY

The closing date for applications is 31 January 2023 23:59 CET/CEST.

In addition to your CV and your motivation letter, please add your proposal of no more than 5 pages outlining your proposed research in the "additional documents" field of the "application information" section.

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In your application, please refer to myScience.fr and reference JobID 36337.