We are hiring

I am recruiting postdoctoral research fellows, PhD students, research assistants, interns, and visiting students to join my group at the Science, Mathematics and Technology Cluster, Singapore University of Technology and Design.

Our group develops algorithms and computational methods at the interface of statistical physics, quantum computing, tensor networks, machine learning, and high-performance scientific computing. With support from the MTC Young Individual Research Grant and the Advanced Quantum Algorithms and Solutions programme, we are expanding along three closely connected directions.

Research directions

Classical simulation and digital twins of quantum processors. We develop tensor-network, Monte Carlo, sparse-state, and multi-GPU algorithms for simulating large-scale quantum circuits, including both ideal and noisy circuits. The goal is not only to push classical simulation limits, but also to build useful digital twins for benchmarking, diagnosis, and design of real quantum devices.

Quantum error correction. We are interested in hardware-adaptive quantum error correction: learning realistic noise models, developing exact, approximate, tensor-network, and machine-learning-assisted decoders, and implementing error-correction workflows on near-term quantum hardware. Candidates interested in generative models, statistical physics, decoding theory, or circuit-level noise are especially welcome.

Quantum and quantum-inspired optimization. We design quantum algorithms and quantum-inspired classical solvers for hard optimization problems in areas such as supply chains, finance, chemistry, and scientific computing. Topics include quantum mean-field annealing, sampling-based optimization, free-energy methods, tensor-network optimization, and statistical-physics-inspired algorithms.

You do not need to fit all three directions. A strong candidate may come from physics, computer science, applied mathematics, operations research, machine learning, or high-performance computing.

What you can expect

You will receive serious training in scientific computing: how to turn mathematical structure into algorithms, and how to turn algorithms into efficient, reliable code. The group is small and growing, so new members will have room to shape projects from the beginning.

You will have opportunities to collaborate with researchers at SUTD, NUS, NTU, IHPC, and industry partners, use major computational resources including the National Supercomputing Centre, work with quantum hardware prototypes where relevant, publish in leading venues, and attend international conferences.

Who we are looking for

We value intellectual honesty, curiosity, independence, and the ability to work well with others. Strong programming ability is important; Python and C/C++ are especially useful, and experience with GPU programming, tensor networks, quantum error correction, machine learning, numerical methods, or optimization is a plus.

For postdoctoral research fellows, applicants should have or be close to completing a PhD in a relevant field. For PhD students and research assistants, strong undergraduate or master’s-level training and evidence of research potential are most important.

Compensation and support

Postdoctoral research fellow positions offer a base salary starting from SGD 7,000 per month, with possible additional bonus depending on experience and project fit. PhD student and research assistant support will follow SUTD and project guidelines. Conference travel and professional development support will be available.