Requirements

Candidates must hold a Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field. A strong publication record in top-tier conferences focusing on generative models, especially diffusion models, is required. Extensive experience in implementing and optimizing large-scale generative models for image or video tasks is necessary, along with a deep understanding of state-of-the-art techniques in text-to-image and text-to-video generation. Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow is essential, along with excellent communication skills and the ability to work collaboratively in a team environment. Ideal candidates should also have postdoctoral or industrial research experience in generative AI for video, hands-on experience with text-to-video generation projects, and expertise in other generative model architectures.