General information

Reference

2025-2694  

Position description

Category

F14 Information Systems - Engineer / Researcher

Job title

AI-Driven Subsurface Prediction Postdoc: Geophysical Data Fusion and Modeling

Contract

Post-doctoral contrat

Contractual hours

Full-time

Contract duration

36 months

Context and contributions of the position

As part of the Underground Research Program (PEPR), co-led by BRGM and CNRS, BRGM is looking for a person to participate in the implementation of the target project "Digital Earth Platform".
This Underground program aims to structure the community of researchers in Earth and environmental sciences, in social, environmental, economic and legal sciences and the community of citizens, decision-makers and industrialists around the issues concerning the definition of the conditions for responsible and sustainable use of the subsoil and the establishment of a framework aimed at limiting conflicts and impacts. More specifically, you will intervene in the work package 3.3.2 that aims to construct a prediction map of the subsurface based on multisource regional geophysical data (airborne Magnetism, airborne Gamma spectrometry, airborne electromagnetism, Gravimetry) using semi/ unsupervised Machine Learning algorithms.

Job description

Joining the French Geological Survey (BRGM) means becoming part of France's leading public institution for Earth Science applications bringing together 1,000 wholeheartedly committed experts across 29 bases in Mainland and Overseas France.

BRGM focuses on enhancing geological knowledge and understanding of surface and sub-surface-related phenomena, with a view to: meeting the challenges of environmental changes through innovative projects with societal implications.

As a postdoctoral researcher, you will focus on key research axes at the intersection of AI, data science, and geophysics:

- Uncertainty Modeling: Developing models that quantify and express confidence in predictions from multisource geophysical data.
- Multiscale Data Fusion: Integrating geophysical data across various resolutions and sources, including remote sensing, into unified predictive models.
- Confidence -Based AI Models: Designing advanced semi- supervised and unsupervised learning algorithms that incorporate uncertainty and confidence indicators.
- Explainable AI: Implementing XAI techniques to ensure model interpretability and trustworthiness for geoscientists. Collaboration with a multidisciplinary team will be key, as you lead research efforts, publish findings, and contribute to advancing AI- driven subsurface mapping methodologies.

Also, you will be in charge of the transmission and promotion of the results to the general public and through a top-tier scientific journal.

Profile

Contract type : Post-Doctorate
Education : Doctorant
Experience : Beginner

You have a doctorate in data science and a strong foundation in AI and machine learning and you are eager to apply thesis capabilities to innovative geophysical and subsurface mapping research.

Ideally you should have:

- Expertise in machine learning, particularly in unsupervised and semi- supervised learning.
- Strong proficiency in programming and relevant tools (eg, Python, TensorFlow, PyTorch), along with experience in data manipulation and processing.
- Experience or interest in uncertainty quantification and confidence modeling. - Skills in Remote Sensing and image/signal processing, especially applied to large, multisource datasets.
- Knowledge of data fusion techniques for integrating information from different scales and sources.
- Experience or interest in explainable AI (XAI) to enhance model transparency and interpretability.
- Ability to work collaboratively in a multidisciplinary environment, learning from geophysics and geology experts.
- Experience in managing georeferenced data through GIS software (e.g. QGIS) and interest in geosciences would be a plus.

This position offers the chance to expand your expertise in AI while working on cutting-edge applications involving complex geophysical datasets and real-world problems-solving.

Working conditions

This position is to be filled within the DCGS/GDS unit of the BRGM at the technical center of Orléans (45).
Within an environment that promotes a healthy work/life balance, particularly thanks to remote working, BRGM prides itself on providing a friendly and caring place to work.
Awarded HRS4R certification in 2021, we are committed to supporting you throughout your career at BRGM. We provide you with a range of tools for developing your skills and expertise, with scope for career progression and geographic mobility.

At BRGM, you will gain from such benefits as a 13th month salary, days off compensating for unpaid overtime, a company canteen, sports facilities as well as holiday and leisure options.

At BRGM, you are guaranteed a transparent recruitment process. To apply, please send us your application (up-to-date CV and cover letter) by february 19, 2025.

Because diversity matters to us at BRGM, all of our job vacancies are open to everyone!

We will examine your application as soon as the closing date has passed. If your application is short-listed, we will contact you for recruitment interviews during which you will have the opportunity to talk with the recruitment and HR departments as well as a cross-functional department.

Position location

Job location

France

Location