🔬 Unraveling Liquid Metal Corrosion: A Journey Through Physics-Informed AI and Advanced Imaging
🌟 What’s in it for you?
Dive into multiphysics-informed neural networks to simulate complex processes like chemistry, mass transport, and microstructural transformations.
Explore AI-driven image analysis to classify, segment, and recognize corrosion patterns like never before.
Build a hybrid modeling framework that combines physics-based simulations with data-driven insights.
Unlock the mysteries of corrosion with explainable AI methods for deeper interpretability.
đź“šCandidate’s Profile:
A motivated candidate with a Master’s degree in Informatics, Physics, or Artificial Intelligence and expertise in:
✔️ Machine learning
✔️ Computer vision
✔️ Materials science
✔️ Passion for solving complex physical problems with AI
🤝 Where you’ll work:
Collaborate with top institutions like the Belgian Nuclear Research Centre (SCK CEN), University of Liège (ULiège – RISE), and UniversitĂ© catholique de Louvain (Universit�� catholique de Louvain).
đź“… Application deadline: March 25, 2025
đź“© For more details, visit https://www.sckcen.be/en/thesis-and-internship-topics/unravelling-liquid-metal-corrosion-journey-through-physics-informed-ai-and-advanced-imaging-5262 or reach out to Serguei Gavrilov (serguei.gavrilov@sckcen.be)
đź“‘ Full details in the PDF
