machine learning

The Department of Physics and Astronomy is seeking to appoint a new permanent lectureship (assistant professor equivalent) in Quantum Machine Learning, at the intersection of physics, quantum information, quantum technology, and machine learning (ML). Applicants from any area of quantum information will be considered.

We have openings for PhD positions in the Nonequilibrium Quantum Dynamics group at the Max Planck Institute for the Physics of Complex Systems in Dresden, Germany.

The research topics are in quantum many-body physics, and range from:

Our research lies at the intersection of many-body dynamics, quantum simulation, quantum control, and applications of machine learning in physics. We are interested in problems of both fundamental nature and immediate applications. We develop approximate analytical methods, and design numerical techniques in order to investigate different problems in quantum dynamics. We collaborate with theory groups and experimental labs to test our theoretical predictions against experiment.

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.


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