Publisher
source

ICBMS-3d.FAB, CNRS – University of Lyon

Postdoc in Physics-Informed Neural Networks for Cognitive Additive Manufacturing ICBMS-3d.FAB research group, CNRS / Université Claude Bernard Lyon 1 in France

Degree Level

Postdoc

Field of study

Computer Science

Funding

18-month postdoctoral position with salary depending on experience.

Country flag

Country

France

University

ICBMS-3d.FAB, CNRS – University of Lyon

Apply for this position

Keywords

Computer Science
Mechanical Engineering
Materials Science
Deep Learning
Mathematics
Industrial Engineering
Computational Physics
Rheology
Additive Manufacturing
Digital Twin Technology
Granular Physics
Physics
Applied Mathematic
Robot Kinematics
ML

Suggested positions

Publisher
source

KU Leuven

Country flag

Belgium

KU Leuven is advertising a fully funded PhD position in the Additive Manufacturing team of the Department of Mechanical Engineering in Leuven, Belgium. The project is part of the Marie Skłodowska-Curie Doctoral Networks initiative TURBO-IMPACT and focuses on Laser Powder Bed Fusion (LPBF) of novel high temperature-resistant multi-metal combinations for small-scale turbomachinery . The research topic is highly relevant to mechanical engineering , materials science , additive manufacturing , and c...

Computer Science
Mechanical Engineering
Materials Science
+5 more

1 month ago

Publisher
source

IMT Mines Albi

Country flag

France

📣 Doctoral thesis announcement for a 36-month PhD in powder flow modelling in agitated devices. The topic is titled “Modelling powder flows in Agitated Devices: from rheological studies to predictive SIMulation at process scale (MAD-SIM powder flow)” . It focuses on granular physics , rheology , computational modelling , powder flows , and process-scale simulation . This PhD is part of the MSCA COFUND doctoral programme BEST (Between Earth and Sky) in Toulouse , which offers 19 funded PhD positi...

Mechanical Engineering
Chemical Engineering
Materials Science
+5 more

4 weeks ago

Publisher
source

École nationale des ponts et chaussées

Country flag

France

Fully funded opportunity in physics-constrained generative AI modelling at École Nationale des Ponts et Chaussées (ENPC) and Université Paris-Saclay , France, with work in CEREA, ENPC / Institut Polytechnique de Paris in collaboration with LISN (ANR MilaDy Project). This post advertises a Master’s internship and a PhD position for candidates interested in computer science , physics , applied mathematics , and related areas. The research focus is on generative AI , machine learning , physical mod...

Computer Science
Mechanical Engineering
Mathematics
+5 more

1 week ago

Publisher
source

Airbus Defence and Space (ADS)

Country flag

Germany

Airbus Defence and Space is advertising an open PhD position focused on intelligent process monitoring and digital twinning for additive manufacturing . The project sits at the intersection of Materials Science , Mechanical Engineering , Computer Science , Electrical Engineering , Physics , and Mathematics , with emphasis on Industry 4.0 methods for manufacturing research. Research themes highlighted in the post include in-situ monitoring for real-time quality control, sensor architectures and s...

Computer Science
Mechanical Engineering
Electrical Engineering
+9 more

1 month ago

Publisher
source

University of Warwick

Country flag

United Kingdom

PhD Studentship: Development of a Digital Twin for Smart Sustainable Steel Section Production This PhD studentship is based at the University of Warwick in the United Kingdom , within the Advanced Steel Research Centre at WMG . The project sits with the Digital Twins team and focuses on building a digital twin for steel section production , combining empirical modelling, finite element analysis, and machine learning to predict microstructural evolution and mechanical properties across the steelm...

Computer Science
Mechanical Engineering
Materials Science
+4 more

2 months ago

About this position

Postdoc opportunity at ICBMS-3d.FAB (CNRS / Université Claude Bernard Lyon 1) in Villeurbanne (Lyon), France.

The project focuses on developing a physics-informed neural network (PINN) model for cognitive additive manufacturing, combining experimental data, process monitoring, and numerical simulation. The work includes designing PINNs that integrate rheology, granular physics, and robotic kinematics, and contributing to an AI-driven cognitive slicer and digital twin for the Dynamic Molding process.

The postdoc will collaborate with industrial partners and a dedicated data scientist. Strong skills in Python, PyTorch or TensorFlow, and physics-based simulation are required. Experience with PINNs and knowledge of additive manufacturing or robotics are a plus.

Eligibility: applicants should hold a PhD in AI / Machine Learning / Computational Physics / Applied Mathematics or a related field.

Duration and funding: 18 months, with salary depending on experience.

How to apply: send a resume and cover letter to [email protected] and [email protected].

Funding details

18-month postdoctoral position with salary depending on experience.

What's required

PhD in AI, Machine Learning, Computational Physics, Applied Mathematics, or a related field. Strong experience with deep learning frameworks such as PyTorch or TensorFlow, physics-based simulation, and Python is required. PINN experience and knowledge of additive manufacturing or robotics are considered a plus.

How to apply

Send a resume and cover letter by email to [email protected] and [email protected].

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts and confirm requirements with the university.