Quantum Physics Researcher
3 days ago
We are seeking a highly skilled Postdoctoral Research Fellow to contribute to a project focused on using neural network quantum states and advanced machine learning algorithms for simulating realistic microscopic Hamiltonians in quantum spin liquid phases and other frustration driven quantum phases.
Key Responsibilities- Construct realistic microscopic model Hamiltonians relevant to real quantum magnets that can host quantum spin liquid states, focusing on Kagome lattice antiferromagnets and the Kitaev model.
- Use neural network quantum states with deep artificial neural network architectures to simulate such Hamiltonians.
- Construct experimentally observable properties of quantum spin liquid states.
- Collaborate with experimentalists to identify signatures of spin liquid states in candidate materials.
- Extend to other frustration-driven novel quantum phases.
- Ph.D. in Physics or related field.
- Knowledge of quantum many body physics and quantum phase transitions.
- Familiarity with neural network quantum states and artificial neural networks.
- Experience in collaborating with experimentalists.
- Proficiency in computational methods.
As a research fellow at NTU, you will have the opportunity to work with a team of experts in the field of quantum physics and develop your skills in machine learning and computational methods. The salary for this position is estimated to be around SGD $80,000 - $100,000 per annum, depending on experience. If you are passionate about advancing our understanding of quantum systems and have a strong background in physics and computer science, we encourage you to apply.
The School of Physical and Mathematical Sciences (SPMS) at NTU Singapore hosts research and education activities in two divisions: Division of Mathematical Sciences (MAS) and Division of Physics and Applied Physics (PAP). PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and photonics. We regret to inform that only shortlisted candidates will be notified.
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