Post-doctoral Fellow in Computational and Theoretical Condensed Matter Physics in the Department of Physics
Tasks
- Analyze correlated 2D materials
- Analyze topological order
- Apply artificial intelligence and neural networks
- Conduct computational research
- Conduct theoretical condensed matter research
- Develop density matrix renormalization group models
- Implement quantum Monte Carlo methods
- Investigate quantum Moire systems
- Perform diagrammatic calculations
- Research frustrated magnets
- Study quantum many body systems
- Study quantum phase transitions
- Work with tensor network states
Perks/Benefits
Skills/Tech-stack
Analytical Techniques | Artificial Intelligence | Density matrix renormalization group | Diagrammatic calculations | Field theory | Many-body physics | Monte Carlo | Neural Networks | Numerical Methods | Quantum Monte Carlo | Quantum many-body physics | Tensor network | Tensor network states
Education
Roles
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