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2025-572 : Remote sensing design engineer
13 October 2025
IRD News
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Field : SCIENCE : BAP E : Computer Science, Statistics and Scientific Computing/E2E47 : Scientific Computing Engineer
Position open to :: Contract staff
Job description:
The position will be part of the "DIVERGENCE" research project led by A. Dehecq, which focuses on the evolution of glaciers in Central Asia (Karakoram, Pamir, Kunlun) since 1960. This evolution will be documented using data from American reconnaissance satellites, now declassified (KH-9), and current commercial satellite data (SPOT), making it possible to reconstruct the evolution of glacier surface altitude from 1960 to 2025. The role of the person recruited will be to implement the massive processing of these satellite data on the Université Grenoble Alpes computing center, and to produce Digital Terrain Models and orthoimages from the stereoscopic satellite data (KH-9, SPOT). In particular, tasks will include: - adapting existing processing chains for similar data to this new type of data - optimizing data processing on the GRICAD university computing center - processing all data - publishing the code produced on a public code repository (GitHub) and documenting it - helping to set up a repository for the data produced on a platform such as Zenodo or Théia.
Skills/knowledge required: Proficiency in scripting languages, preferably Python and Bash Expertise in intensive and parallel scientific computing Proficiency in the design and development of computational code, version management in a Unix/Linux environment (git) and preparation of Python packages Writing documentation for users (Markdown, Jupyterbooks) English language : higher than B1 (Common European Framework of Reference for Languages) Skills/knowledge required but optional: Experience in academic research, particularly in glaciology, geosciences or climate sciences, or an interest in these themes is desirable. Experience of remote sensing data (georeferenced raster and vector formats) Experience of Geographic Information Science software (e.g. QGIS) Knowledge of image processing and more specifically photogrammetry. Knowledge of NASA Ames Stereo Pipeline software is an asset. Skills Self-starter Intellectual curiosity Ability to adapt and conceptualize Rigor / Reliability Level of education required: Master's Degree Experience required: 0 to 5 years
Position open to :: Contract staff
Job description:
The position will be part of the "DIVERGENCE" research project led by A. Dehecq, which focuses on the evolution of glaciers in Central Asia (Karakoram, Pamir, Kunlun) since 1960. This evolution will be documented using data from American reconnaissance satellites, now declassified (KH-9), and current commercial satellite data (SPOT), making it possible to reconstruct the evolution of glacier surface altitude from 1960 to 2025. The role of the person recruited will be to implement the massive processing of these satellite data on the Université Grenoble Alpes computing center, and to produce Digital Terrain Models and orthoimages from the stereoscopic satellite data (KH-9, SPOT). In particular, tasks will include: - adapting existing processing chains for similar data to this new type of data - optimizing data processing on the GRICAD university computing center - processing all data - publishing the code produced on a public code repository (GitHub) and documenting it - helping to set up a repository for the data produced on a platform such as Zenodo or Théia.
Skills/knowledge required: Proficiency in scripting languages, preferably Python and Bash Expertise in intensive and parallel scientific computing Proficiency in the design and development of computational code, version management in a Unix/Linux environment (git) and preparation of Python packages Writing documentation for users (Markdown, Jupyterbooks) English language : higher than B1 (Common European Framework of Reference for Languages) Skills/knowledge required but optional: Experience in academic research, particularly in glaciology, geosciences or climate sciences, or an interest in these themes is desirable. Experience of remote sensing data (georeferenced raster and vector formats) Experience of Geographic Information Science software (e.g. QGIS) Knowledge of image processing and more specifically photogrammetry. Knowledge of NASA Ames Stereo Pipeline software is an asset. Skills Self-starter Intellectual curiosity Ability to adapt and conceptualize Rigor / Reliability Level of education required: Master's Degree Experience required: 0 to 5 years
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