Applications are invited for two postdoctoral positions in quantum computing and artificial intelligence with Assistant Professor Yuxuan Zhang at the National University of Singapore, starting Spring or Fall 2027.
The group opens in December 2026 and is hosted by the School of Computing, with a joint appointment in the Department of Physics. As a founding member, you will have the chance to shape the group's research agenda and its working culture, build the computational infrastructure it runs on, and mentor its first students.
We work at the interface of quantum information, quantum many-body physics and machine learning, with one organising goal: quantum computations that are both verifiable and practically useful. Example research directions include:
• Quantum advantage and its classical boundary — peaked circuits and efficiently verifiable advantage, together with tensor-network and Pauli-path methods that map where classical simulation stops.
• Quantum simulation of many-body and open systems — non-Hermitian dynamics, mixed-state phases of matter, and thermal state preparation.
• Machine learning for quantum computing — compiling many-body dynamics into short circuits, neural quantum states, and learning noise and control from device data.
Theory-leaning, numerics-leaning and hardware-facing projects are all available. Postdocs are encouraged to develop independent projects alongside collaborative ones, and will have opportunities to co-supervise PhD and undergraduate students, to work with industry partners in quantum computing including Quantinuum, Google and IBM, and to take part in an ongoing collaboration spanning North America, Europe and Asia.
The initial appointment is typically for two years with the potential for renewal, and a competitive salary will be offered. Singapore is expanding rapidly in quantum: the National Quantum Strategy commits about S$300 million over five years, the Centre for Quantum Technologies at NUS is becoming a national R&D centre, and Quantinuum has opened an R&D centre in the city.
Applicants should hold, or be close to completing, a PhD in physics, computer science, applied mathematics or a related field, with strong research experience in one or more of: quantum information and computation, quantum many-body physics, tensor-network or other numerical methods, and machine learning.
To apply, please submit your application through AcademicJobsOnline: https://academicjobsonline.org/ajo/jobs/32512 — applications close 15 November 2026.
