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Postdoc M/F MACHINE LEARNING AND AUTOMATED INTERPRETATION OF GEOLOGICAL STRUCTURES

CNRS

France

Sur place

EUR 35 000 - 50 000

Plein temps

Il y a 6 jours
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Résumé du poste

A leading research organization in France seeks a First Stage Researcher for the MaLISSiA project, focusing on geocognitive geomodelling. The role involves developing algorithms, supervising students, and publishing research. Candidates should have a Ph.D. in science and skills in AI and programming.

Qualifications

  • Experience in numerical geology or informatics.
  • Skills in programming, project management, and documentation.

Responsabilités

  • Code development and bibliographic research.
  • Supervising MSc students and scientific publication.

Connaissances

Artificial Intelligence
Machine Learning
Computer Vision
3D Modelling
Photogrammetry
Teamwork
Communication

Formation

Ph.D. in Science

Outils

Python
C++

Description du poste

Organisation/Company: CNRS
Department: Institut des Sciences de la Terre d'Orléans
Research Field: Geosciences, Astronomy, Environmental Science
Researcher Profile: First Stage Researcher (R1)
Country: France
Application Deadline: 2 Jun 2025 - 23:59 (UTC)
Type of Contract: Temporary
Job Status: Full-time
Hours Per Week: 35
Offer Starting Date: 1 Oct 2025
Funding: Not funded by an EU programme
Research Infrastructure: No

Offer Description

This position is part of the MaLISSiA project, which explores a geocognitive approach to geomodelling based on geological knowledge formalisation and interpretation. The project involves developing an interpretation algorithm using Python and C++, integrating machine learning strategies, and constructing a geological corpus. Responsibilities include code development, bibliographic research, supervising MSc students, and scientific publication and communication.

The candidate should hold a Ph.D. in science, preferably with experience in numerical geology or informatics, and skills in artificial intelligence, machine learning, computer vision, 3D modelling, and photogrammetry. Programming skills in Python, experience with development tools, documentation, and project management are required. Enthusiasm for teamwork, synthesis, and communication in English is essential, with some French skills advantageous.

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