Conduct fundamental research on artificial intelligence problems, including but not limited to the understanding of (labelled and/or unlabelled) data from multiple modalities (image, video, text, audio, bio-data, etc); 3D computer vision; network architecture design; generative models; large-scale optimization;
Research on long-term ambitious goals, while laying out intermediate milestones;
Publish influential research work on top conferences and journals;
Collaborate on large projects that are strategically prioritized by the SAIL.
Requirements:
Previous research experience in a university, industry, or government lab(s), in a role with primary emphasis on AI research;
Holding a Ph.D. degree in computer science, statistics, applied mathematics, data science or other related disciplines;
First-author publications at peer-reviewed AI conferences (e.g. NeurIPS, CVPR, ICML, ICLR, ICCV, ACL) and journals (e.g., TPAMI, JMLR, AIJ), or authored publications in CNS (Cell, Nature/Nature research journals, Science);
Knowledge in one of the differentiable programming frameworks, e.g., PyTorch, TensorFlow, JAX;
(Preferred) Track record of high impact research (e.g. multiple papers with 100+ citations);
(Preferred) Received best paper or equivalent awards in the aforementioned conferences;
(Preferred) Winner of international academic competitions.
