PhD in Quantum Physics, Quantum Computing, Computational Physics, Computational Quantum Chemistry, or equivalent practical experience.
Experience in practical research applying Tensor network algorithms such as Matrix Product State (MPS), Entanglement Renormalization Ansatz (MERA), or Projected Entangled Pair States (PEPS).
Experience with programming in Python.
One or more scientific publication submission(s) on applying Tensor network algorithms e.g., MPS, MERA, or PEPS.
Preferred qualifications:
Experience with high-performance computing such as multi-CPU, GPU, or multi-GPU, simulations of quantum many-body systems, or of quantum computations, including both code development and execution of simulations.
Experience in quantum computing theory, quantum information theory, and condensed matter theory.
Experience in developing novel Tensor network algorithms.