We invite applications for a research project in theoretical/computational physics on out–of-equilibrium quantum field dynamics at the PhD or MSc level. The project uses a modern numerical approach, termed Hamiltonian Truncation Tensor Networks, to simulate the real-time evolution of quantum field theories by working in a truncated Hilbert space basis in momentum space. 

The successful candidate will focus on one of the following directions:

• Method development and benchmarking
  Implement core routines for time evolution simulation and develop improved-efficiency truncation schemes, using entanglement-based diagnostics.

• Application to out-of-equilibrium dynamics in 1+1D QED theory
  Apply the method to the massive Schwinger model ((1+1)D QED) to study real-time evolution after abrupt parameter changes aiming to understand far from equilibrium dynamics in quantum field theory.

Expected qualifications: 

Solid background in advanced quantum mechanics, statistical mechanics, and introductory QFT, interest in scientific computing and computational research. Strong programming skills (Python or Julia) is a plus. No prior knowledge of tensor networks is required.