QMLTN

OPEN POSITIONS

We are seeking motivated postdoctoral researchers and PhD students to join our team. The available positions focus on cutting-edge research in the following areas:

  • Quantum reservoir computing (including numerical simulations, theory, and experiments (cold atoms and muons))
  • Adiabatic quantum computing and the development of novel quantum algorithms
  • Measurement-based quantum computing (connection to dequantization and use of tensor networks)
  • Application of tensor networks in machine learning (e.g. the TN approach to the ARC challenge)
  • Exploring neural quantum states in the context of many-body quantum dynamics
  • Utilizing machine learning approaches (such as autoencoders, SINDY, and Koopman theory) for an effective description of many-body quantum states

If you are interested in any of these topics, please submit your application to assist. prof. dr. Bojan Žunkovič with the subject line "QMLTN position" and an attached CV. In your email, please specify the research area that interests you most.