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Job Description:
- 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); decision making in a complex and realistic environment; neuroscience-inspired AI; AI for Science, trustworthy AI and theoretical foundations.
- Set up long-term ambitious goals. Lead the project members to make steady progress towards the goal 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.
- Three or more years of work experience in a university, industry, or government lab(s), in a role with primary emphasis on AI research.
- Hold a Ph.D. degree in computer science, statistics, engineering, 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 is preferred.
- Experience in leading significant research projects.
- Great visibility in the community.
- Track record of high-impact research.
- (Preferred) Received best paper or equivalent awards in the aforementioned conferences.
- (Preferred) Winner of international academic competitions.