Minimum qualifications:

• 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), Multi-Scale Entanglement Renormalization Ansatz (MERA), or Projected Entangled Pair States (PEPS).
  
• Experience with programming in Python.
  
• Published research papers on applying Tensor network algorithms [e.g., MPS, MERA, or PEPS].
  

Preferred qualifications:

• Experience in Quantum Computing theory, Quantum Information theory and Condensed Matter theory.
  
• Experience with high-performance computing such as multi-CPU, GPU or multi-GPU, simulations of quantum many-body systems and/or of quantum computations, including both code development and execution of simulations.
  
• Experience developing novel Tensor network algorithms.
  
• Experience executing high-performance computing simulations such as multi-CPU, GPU or multi-GPU, based on Tensor network algorithms (e.g., MPS, DMRG, MERA, PEPS).