Science Engineer (M/F) - Monitoring of Climate Change from Space

Magellium (Artal Group), with its 300 employees, is an independent company, specializing in remote sensing (including the full processing chain, from the satellite or drone sensor to applications in earth observation systems and services, cartography, and geo-intelligence) promoting space technologies, software development, signal processing, and geomatics.

Within the Earth Observation unit (https://earthobservation.magellium.com/), Magellium develops scientific expertise in collaboration with research laboratories for diverse applications linked to major issues of the Earth system by providing scientific data and studies of key environmental variables at various spatial and temporal scales. Standard activities involve processing geophysical data to bring out signals of interest and carry out scientific studies in collaboration with research experts. 

In particular, strong expertise has been developed in processing space Earth observation data for monitoring and understanding climate change. Several metrics and indicators have been specified, generated, and validated based on space geodesy data, aiming for example at quantifying changes in the ocean heat content and Earth’s energy imbalance: https://www.aviso.altimetry.fr/en/data/products/ocean-indicators-products/ocean-heat-content-and-earth-energy-imbalance.html.   

Within the “Earth Observation” unit, in the “Climate” division, you will work with a team of around fifteen people, in charge of the development, production, and, validation of added-value products for climate studies using satellite altimetry and gravimetry data.

Your tasks will include the :

• Processing and analysis of space geodesy data (altimetry and gravimetry),

• Improvement of scientific algorithms to generate added-value products for climate studies,

• Independent realization of scientific studies in coordination with the team leader, and, in direct contact with the client,

• Scientific writing: reports, assessments, publications, scientific articles in peer-reviewed journals,

• Communication of the results of  scientific projects at national and international conferences,

• Methodological and algorithmic analyses, conception and development of  data processing chains

• Collection, analysis, and, evaluation of relevant satellite data to achieve scientific objectives, 

• Assessment and evaluation of the added value of newly generated products in comparison with independent data (satellite and  in-situ measurements, or geophysical models),

• Application of signal processing tools and methods,

• Application of mathematical and statistical methods (e.g. estimation of uncertainties, metrology),

• Analysis and interpretation of scientific results,

• Bibliographic studies, monitoring technological advances, and critical rereading of scientific documents. 

With an engineering degree from a major engineering school or a PhD in a relevant science field (geodesy, geophysics, mathematics, physics), you have strong scientific training in Physics, Earth sciences, Environmental sciences, and/or, Climate Change sciences.

Validated experience in a research laboratory with publication of scientific articles will be appreciated (thesis, post-doc) particularly in the field of Earth observation using space technologies, or oceanography.

You have proven experience in numerical programming (preferably Python) and good mathematical skills (resolution of inverse problems, statistical methods, signal processing).

Required Skills :

• Remote sensing and/or physics of measurement,

• Applied mathematics, statistical processing, metrology,

• Scientific computing with excellent command of associated tools and languages (Python, MatLab),

• Excellent capacity for synthesis, critical review of documents, and, scientific writing,

• Oral and written fluency in English. 

Other skills :

• Good capacity to adapt and improve skills in new technical subjects,

• Interest in science and technology,

• Strong ability to work in a team,

• Good interpersonal skills, communication skills, clarity, and reliability.