Postdoc: Generative AI for 3D Defect Synthesis
Summary
Postdoc role developing generative AI models to synthesize realistic 3D material defects for CT imaging, using diffusion models, GANs, VAEs, and NeRF in Python/PyTorch.
KAUST in Thuwal (Saudi Arabia) invites applications for a Postdoc in the Physical Science and Engineering Division, focusing on material science and AI-driven defect synthesis in 3D CT data. The role develops generative models (diffusion, GANs, VAEs, NeRF) to insert plausible defects into 3D volumes, ensuring physics-consistent attenuation and CT artefacts, enabling real-to-sim transfer.
Candidates should have a PhD in related field, strong Python/PyTorch skills, and experience with 3D imaging;