Publisher
source

Université Claude Bernard Lyon 1

Postdoc in Physics-Informed Neural Networks for Cognitive Additive Manufacturing University of Lyon 1 in France

Degree Level

Postdoc

Field of study

Computer Science

Funding

Postdoc position for 18 months. Funding details are not specified in the post, but it is a paid research position.

Country flag

Country

France

University

Université Claude Bernard Lyon 1

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Keywords

Computer Science
Data Science
Mechanical Engineering
Materials Science
Mathematics
Artificial Intelligence
Python Programming
Rheology
Additive Manufacturing
Computational Mechanics
Digital Twin Technology
Monte Carlo Simulation
Robotics
Physics
ML

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About this position

Postdoc opportunity in Physics-Informed Neural Networks for cognitive additive manufacturing at ICBMS Lyon / CNRS, with the 3d.FAB research group, 3Deus Dynamics, and Axel’One Campus in Lyon / Villeurbanne, France.

The project focuses on developing a PINN model for advanced additive manufacturing by combining experimental data, monitoring, and simulation for predictive printing. The work includes designing physics-informed neural networks that integrate rheology and robotics, building hybrid learning approaches using simulation and production signals, and contributing to an AI-driven cognitive slicer and digital twin of Dynamic Molding.

Applicants should have a background in Artificial Intelligence, Machine Learning, Applied Mathematics, Computational Mechanics, or Data Science. Strong experience with PyTorch, TensorFlow, numerical modeling, and Python is requested.

The position lasts 18 months and starts in Q1-2027. It is open until filled. To apply, email Edwin-Joffrey Courtial and Christophe Marquette directly.

Funding details

Postdoc position for 18 months. Funding details are not specified in the post, but it is a paid research position.

What's required

Background in artificial intelligence, machine learning, applied mathematics, computational mechanics, or data science. Strong experience with PyTorch, TensorFlow, numerical modeling, and Python is required. The postdoc focuses on physics-informed neural networks, rheology, robotics, simulation, and production signals for additive manufacturing.

How to apply

Apply by email to Edwin-Joffrey Courtial and Christophe Marquette. Send your application directly to [email protected] and [email protected]. The position is open until filled.

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