Faculty & Research Positions in Artificial Intelligence

Located in the city center of Beijing, the College of Artificial Intelligence at Capital Normal University (Beijing) invites applications for full-time faculty positions and research positions at all ranks (Professor /Associate Professor /Assistant Professor/Researcher/Associate Researcher/Assistant Researcher). We welcome applicants with fundamental research and/or teaching focus across a broad range of AI disciplines, including but not limited to: Machine Learning & Deep Learning Theory, Computer Vision (3D, Video, Generative AI, Multimodal), Natural Language Processing & Large Language Models, Data Mining & Databases, Generative AI and Creative Applications, Graph Learning & Knowledge Graphs, AI for Healthcare / Biology / Scientific Discovery, Autonomous Systems & Embodied AI, Trustworthy AI (Robustness, Fairness, Privacy), Efficient AI (Neural Architecture Search, Model Compression), AI for Science, Healthcare, and Sustainability, Electrical Engineering & Signal Processing, Neuromorphic & Brain-Inspired Computing. Successful candidates are expected to build an active research program, supervise graduate students, and contribute to undergraduate and graduate education.

IDEAL PROFILES

PhD in Computer Science, ECE, Statistics, Mathematics, or a closely related field Strong publication record at top venues (Neur

IPS, ICML, ICLR, CVPR, ICCV, ECCV, ACL, EMNLP, KDD, SIGIR, AAAI, IJCAI, IEEE/ACM

Transactions, etc.) Commitment to collaborative, rigorous academic research Good academic ethics and professionalism Early-career researchers — including assistant professors, postdoctoral researchers, and research scientists concluding appointments in 2026-2029 — are particularly encouraged to apply. We are happy to time offers to align with your transition.

COMPENSATION & RESOURCES

Capital Normal University offers highly competitive packages by international standards. China's effective tax rates are substantially lower than those in most OECD countries, which meaningfully increases take-home pay at comparable income levels. Eligible candidates may also qualify for substantial multi-year research grants from national and Beijing municipal funding bodies, awarded on top of the base university package. These grants can significantly supplement your salary, expand your lab budget, fund PhD students, and cover equipment costs.

ABOUT CAPITAL NORMAL UNIVERSITY

Capital Normal University (CNU; 首都师范大学) is a key comprehensive university in Beijing, with strong national funding and a clear institutional mandate to become a top-tier university on fundamental AI research. 40,000+ students • 3,000+ faculty Located in Haidian District — Beijing's university and technology hub Strong ties to Beijing's thriving tech and research ecosystem Direct pipeline to China's top undergraduate talent for PhD recruitment Beijing hosts more leading tech companies, research labs, and AI initiatives than any other city in China — Baidu, ByteDance, DiDi, Meituan, Xiaomi, MSRA, Zhongguancun Science Park, and dozens of world-class AI labs, all within 30 minutes. The collaboration and career opportunities for you and your students are unmatched.

HOW TO APPLY

Interested applicants are encouraged to submit a single PDF to t116@cnu.edu.

cn containing:

1. Curriculum vitae with full publication list 2. PDF copies of 3-5 representative publications 3. Research statement 4. At least three letters of recommendation (sent directly by recommenders to t116@cnu.edu.cn ) This posting is open-ended and continuously accepting applications. There is no deadline — qualified candidates are welcome to apply at any time. Applications are reviewed on a rolling basis and candidates will be contacted as positions become available. Feel free to reach out before submitting a full application. We are happy to discuss fit, timeline, and compensation before you invest time in a formal submission. Capital Normal University is an equal opportunity employer. We particularly welcome applications from women and underrepresented groups in AI.