machine learning

Postdoc and PhD positions in theoretical physics:
Machine Learning for Quantum Technologies

Quantum Information and Inference laboratory (QI2-lab) led by Jan Kolodynski at the Centre of New Technologies (CeNT) of the University of Warsaw offers a postdoctoral position within the project Continuously Monitored Quantum Sensors: Smart Tools and Applications (C'MON-QSENS!) funded by the QuantERA EU programme in Quantum Technologies. The appointment will be for two years with a possible one-year extension option.

Our new independent theory research group at the Max Planck Institute for the Science of Light (Erlangen, Germany), led by Mario Krenn, will investigate how new artificial intelligence (AI) can make conceptual advances in physics, in particular in quantum physics and quantum optics.

A post doc position is available in the lab of Dr. Louis Bouchard at UCLA to work on magnetic resonance (ESR, NMR) projects related to quantum science. Our group has pioneered the development of magnetic resonance techniques to probe condensed matter phenomena in topological insulators, crystalline insulators, Dirac semimetals, topological superconductors, etc.  Some of these materials are now being developed for topological quantum computing.  In recent years we have also had interest in gas phase diffusion phenomena and associated non-Markovian effects.

Overview

The Quantum Information and Computation group at the Institute for Theoretical Physics at the University of Innsbruck is looking for a Postdoc to start working on a new ambitious and exciting project. The multidisciplinary scope of this research brings together ideas from artificial intelligence, measurement-based quantum computation and theoretical quantum optics. The ideal candidate has proven expertise in at least two of these fields, and is familiar with numerical simulations and analytics in quantum theory.

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