Remote Sensing Engineer, Measurement Physics, Space Observation M / F

This role within the "Earth Observation" unit involves leading and executing studies and projects focused on measurement physics — specifically in radiative transfer, atmospheric correction, atmospheric parameter inversion, and in-flight radiometric calibration — applied to multispectral and hyperspectral sensors.

Key responsibilities include:

• Conducting scientific studies and prototyping solutions
• Analyzing and defining methods and algorithms, and designing scientific processing chains
• Utilizing and mastering tools and models, such as inverse models and radiative transfer models
• Preparing technical documentation, including reports, specifications, manuals, and scientific publications
• Presenting results in project meetings and at scientific conferences
• Leading and maintaining thematic relationships with research laboratories, French and European partners, and industry stakeholders to foster collaboration
• Identifying and proposing new development opportunities
• Performing bibliographic research and technology watch
• Leading projects or studies within the relevant domains
• Contributing to responses for calls for tenders

PhD holder, with a strong academic background and at least 3 years of experience in Earth observation, specifically in measurement physics (radiative transfer, atmospheric corrections, atmospheric parameter inversion) applied to multispectral and hyperspectral optics.

Proven experience in a scientific laboratory involved in Earth observation for space missions, with experience in publishing and presenting at scientific conferences, is a real advantage.

Required Skills:

• Strong foundation in applied mathematics, statistics, and image processing
• In-depth knowledge of remote sensing, space observation, particularly optical missions
• Expertise in measurement physics, atmospheric physics, geophysical measurements, along with their applications
• Statistical methods and uncertainty calculations for satellite data calibration and multi-mission or satellite/in-situ data comparison
• Knowledge in radiative transfer models
• Experience with geophysical parameter retrieval from spaceborne data
• Autonomy in implementing high-performance computing tools for studies and prototyping in an industrial environment
• Proficiency in programming languages such as Python, Matlab, and IDL

Additional Skills:

• Strong oral and written English communication skills
• Ability to write technical and scientific documents in English
• Adaptability and willingness to quickly learn new technical subjects
• Creativity, curiosity, rigor, and autonomy
• Passion for scientific domains
• Interest in Earth sciences and environmental studies
• Strong teamwork skills
• Excellent interpersonal and communication skills, clarity, and reliability
• Sense of responsibility and commitment