Postdoc Generative AI for 3D Defect Synthesis
Summary
Postdoc role developing generative AI models (diffusion, GANs, VAEs, NeRF) to synthesize realistic 3D material defects for CT imaging, ensuring physics-consistent outputs for real-to-sim transfer.
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;