Postdoctoral Research Fellow - Computer vision, AI, machine learning
The Computer Vision-Core Artificial Intelligence Research (Vision-CAIR) group of Prof. Mohamed Elhoseiny at the CS Program of the King Abdullah University of Science and Technology (KAUST) is looking for a postdoctoral researcher in the area of computer vision, AI, and machine learning. The Research Vision-CAIR group performs research and develops computational approaches in the following research themes:
(a) learning efficiency, computational creativity (zero, few-shot, and long-tail learning of 2D and 3D vision tasks. This also includes efficient generative models that are capable of generating and understanding unseen art and fashion in 2D and 3D);
(b) continual learning (e.g., alleviating catastrophic forgetting in various learning settings including recognition RL);
(c) vision and language (this overlaps with the former themes as 2D and 3D vision is often integrated with language).
Key requirements include good communication (verbal, writing, etc) and excellent publication record in high-quality journals and/or conference proceedings such as CVPR, ICCV, NeurIPS, ICML, ICLR, ECCV, Nature, TPAMI, AAAI. It is an opportunity to develop core algorithmic advances and aim at publishing them at these top venues. More details about the position can be found here.
Next cut-off date: June 30, 2021
Applications will be analysed as they are received, so early application is advised.