Job Description
Job Title:  Research Fellow/Senior Research Fellow (AGI Research)
Posting Start Date:  12/02/2025
Job Description: 

Job Description

Prof. YAN Shuicheng from the Learning and Vision Lab at the School of Computing, National University of Singapore is exploring e-AGI: Efficient, Embodied, and Evolving. We are seeking creative Senior Research Fellows to join our team and drive breakthrough research. This position offers a unique opportunity to develop novel computational architectures for foundation models, explore embodied AI approaches, and pioneer self-improving methodologies that push the boundaries of intelligent systems.


Key Responsibilities:
•    Lead groundbreaking research in AGI with a focus on the e-AGI paradigm.
•    Collaborate with an interdisciplinary team to produce influential publications in premier conferences and journals, significantly impacting the AGI community.

 

Apply:

If you are excited to join our cutting-edge AGI research team, please send your latest Curriculum Vitae to yansc@comp.nus.edu.sg. We look forward to exploring this exciting opportunity with you.
 

Job Requirements

  • Demonstrated expertise in AGI research through previous roles in academia, industry, or government research labs.
  • A Ph.D. in Computer Science, Statistics, Applied Mathematics, Data Science, or related fields is highly desirable.
  • A strong publication record as a first author in top AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, ACL) and journals (e.g., TPAMI, JMLR, AIJ), or contributions to high-impact journals such as Cell, Nature, and Science.
  • Proficiency in differentiable programming frameworks such as PyTorch, TensorFlow, and JAX.
  • A proven track record of high-impact research with multiple papers garnering 100+ citations is preferred.
  • Recognition through best paper awards or similar accolades at leading conferences is preferred.
  • A strong record in international academic competitions is preferred.

More Information

Location: Kent Ridge Campus

Organization: School of Computing

Department : Department of Computer Science

Employee Referral Eligible: No

Job requisition ID : 27811