Research Fellow (Theoretical Condensed Matter Physics and Quantum Information Theory)

The successful candidate will work with Assistant Professor Ho Wen Wei (Presidential Young Professor) at the Department of Physics, Faculty of Science, National University of Singapore, on the theoretical study of novel quantum many-body phenomena realized by programmable quantum systems, as well as develop applications in quantum information science with them, under a project on Nonequilibrium Quantum Many-body Phenomena and Quantum Information Science in Synthetic Quantum Matter.

The main responsibilities of the position include:

• Developing theoretical methods to predict and characterize nonequilibrium quantum many-body phenomena in synthetic quantum matter (cold atoms, Rydberg atoms, trapped ions,  etc.), utilizing the lens of quantum information theory (e.g., entanglement, tensor networks). Specific topics include deep thermalization, measurement-induced randomness, measurement-induced entanglement phases, dynamical/driven phases of matter, quantum many-body scars etc.
• Developing quantum information science applications like quantum simulation of complex many-body phenomena, and quantum state preparation and tomography protocols, specifically tailored for current and near-term quantum technologies etc. Analytical calculations and numerical methods will be employed to ascertain the validity and performance of the proposed applications.

There will be opportunities to collaborate with world renowned experimental groups of cold atoms, superconducting circuits and Rydberg atoms, including those at the Centre for Quantum Technologies (CQT) in Singapore, located next door.

Qualifications/Requirements/Other Info

• Qualifications / Discipline: PhD in physics or closely-related field.
• Skills: Candidates should be familiar with quantum many-body theory and quantum-information theoretic tools to analyse them, like entanglement and tensor networks etc. Previous experience with experiments involving quantum simulators is a plus, and expertise in computational methods (exact diagonalization, DMRG, Monte Carlo) is also highly desirable.
• Experience:  Candidates should have a PhD at the start of appointment and have published a number of papers relevant to the field of research, in reputable journals.

The position is for a fixed-term of two years, renewable for one more year, contingent upon performance and availability of funding. It