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Contact

Contact and recruiting information for LEMA Lab at the National University of Singapore.

Contact

Open Positions

Due to the high volume of inquiries, I may not be able to respond to every message. If you believe you are a strong fit and do not receive a reply within one week, you may follow up by email using the subject line “NUS-LEMA Application | [Expected Role] | [Current Affiliation]”.

Our lab has openings for 3–6 PhD students, 1 postdoc fellow, and several visiting students in 2027. Please submit the application form first, including a CV, research interests, and links to representative work.

Application Form

PhD Students

For PhD applicants, please also follow the NUS CS PhD application process by June 15 (spring intake) or Dec 15 (fall intake).

Postdoctoral Researchers

For postdoc applicants, please include a CV, representative papers, reference contacts, and possible project directions.

Research Interns

For internship or visiting applicants, please include an expected timeline, funding status, and research interests.

Why Join Us

Lab Research

Our recent work has been recognized with Best Paper awards at ICLR, CVPR, and RSS workshops, Oral at ICML, and invited talks at UC Berkeley, OpenAI, NVIDIA, etc.

Global Collaboration

Our lab builds on broad collaborations across NUS and with researchers at leading institutions worldwide, including Stanford, Harvard, ETHZ, EPFL, MPI, Tsinghua, ISTA, Oxford, and beyond.

NUS AI Research

NUS is consistently recognized among the leading computer science programs, ranked globally at #4 by QS, #5 by US News, and #13 by Times in recent subject rankings.

Singapore AI Hub

Singapore is emerging as a global AI hub, with growing activity from Google DeepMind, Microsoft Research, and other leading industry labs, creating strong opportunities for research careers.

Who We Look For

Minimum Qualifications

  • Uncompromising intellectual honesty and research integrity.
  • Strong background in machine learning, robot learning, computer vision, robotics, physics, or related areas.
  • Good written and verbal communication skills, with the ability to explain ideas clearly and collaborate effectively.

Preferred Qualifications

  • Intrinsic curiosity and genuine interest in fundamental research.
  • Independent thinking, ownership, and a demonstrated record of initiative or exceptional achievement.
  • Evidence of substantial prior research experience, such as high-quality publications or submissions in relevant venues.

Email: liuyj [at] comp.nus.edu.sg

Address: COM 1, 13 Computing Drive, Singapore 117417

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