Postdoc: AI-Driven Ecology & Hyperspectral Modeling

CNRS; France; Sur place; EUR 40 000 - 60 000; Plein temps

Résumé du poste

A leading research institution in France seeks a highly motivated postdoctoral researcher to work on the European OBSGESSION project, focusing on using hyperspectral data to predict soil functions and communities in mountainous regions. The role demands strong expertise in artificial intelligence tools and ecological modeling approaches, with opportunities to develop analysis pipelines and collaborate with top researchers. The ideal candidate will have a PhD, a solid publication record, and advanced skills in R and Python.

Qualifications

• PhD required in a relevant field.
• Strong publication record expected.
• Experience with ecological data analysis is essential.

Responsabilités

• Develop hyperspectral data analysis pipelines.
• Integrate analysis with Earth foundation models.
• Model and test data relevance for biodiversity studies.

Connaissances

Artificial Intelligence tools

Earth foundation models

Hyperspectral data analysis

Large spatial and temporal datasets

Statistical modeling (R, Python)

Strong writing and communication skills

Flexibility and adaptability

Formation

PhD in mathematics/statistics/AI

Description du poste

A leading research institution in France seeks a highly motivated postdoctoral researcher to work on the European OBSGESSION project, focusing on using hyperspectral data to predict soil functions and communities in mountainous regions. The role demands strong expertise in artificial intelligence tools and ecological modeling approaches, with opportunities to develop analysis pipelines and collaborate with top researchers. The ideal candidate will have a PhD, a solid publication record, and advanced skills in R and Python.