The Artificial Scientific Intelligence Lab (ASI Lab) at the National University of Singapore is inviting applications for PhD positions (January 2027 intake) in the field of machine learning for science and fundamental machine learning. The lab, led by Assistant Professor Dianbo Liu, focuses on developing advanced machine learning methods that enable AI systems to autonomously conduct scientific research. Research areas include automatic AI evolution, creativity, and discovery engines, with applications in generative models and biomedical sciences. The ASI Lab is committed to pushing the boundaries of AI for the benefit of humanity, with a mission to create systems capable of independent scientific discovery. The team has a strong interdisciplinary background, with previous affiliations including the Broad Institute of MIT and Harvard, Mila-Quebec AI Institute, and Harvard Medical School. The lab welcomes applicants who are passionate about AI, machine learning, and their applications in science. Applicants should have a solid background in computer science, machine learning, or related disciplines. Experience with fundamental machine learning methods is preferred. Candidates must satisfy the National University of Singapore's PhD admission requirements. The lab encourages creative thinkers and those interested in advancing autonomous scientific research. To apply, visit the lab's website or use the provided application link. For further information, contact Dr. Dianbo Liu at [email protected]. The application deadline for the Spring 2026 session is August 1, 2026. For more details about the lab's research and open positions, see ASI Lab website .

The Artificial Scientific Intelligence Lab (ASI Lab) at the National University of Singapore is recruiting PhD candidates for the January 2027 intake. The lab, led by Assistant Professor Dianbo Liu, focuses on developing fundamental machine learning methods to enable AI systems to autonomously conduct scientific research. Research directions include machine learning for science and fundamental machine learning, with applications in generative models, autonomous systems, and biomedical sciences. The ASI Lab is organized around three core themes: the Automatic AI Evolution Engine (AI for AI that improves AI), the Automatic AI Creativity Engine (enhancing generative models), and the Automatic AI Discovery Engine for Biomedical Sciences (self-evolving AI for scientific discovery). The lab's mission is to push the limits of humankind for the greatest benefit to all. Applicants should have a strong background in computer science, mathematics, or related fields, with experience in machine learning or artificial intelligence highly desirable. Candidates must meet the National University of Singapore's PhD admission requirements, including academic excellence and English proficiency. Funding details are not explicitly provided; applicants should consult the lab website or NUS for information on scholarships or stipends. To apply, review the open positions on the lab website and submit your application via the provided link. For further inquiries, contact Dr. Dianbo Liu at [email protected]. The application deadline for the Spring 2026 session is August 1, 2026.