Submitted by
dobrautz on Fri, 24/01/2025 - 23:33.
Application deadline:
Friday, February 28, 2025
We offer a fully funded 3-year PhD Student (f/m/d) in Machine Learning for Quantum Computing and Simulation of Quantum Matter. The successful PhD candidate (f/m/d) will be part of the interdisciplinary DRESDEN-concept Research Group AI 4 Quantum which is currently established at the Center for Advanced Systems Understanding (CASUS) of the Helmholtz-Zentrum Dresden-Rossendorf (HZDR) and the Center for Scalable Data Analytics and Artificial Intelligence Dresden/Leipzig (ScaDS.AI) at the Center for Interdisciplinary Digital Sciences (CIDS) of the TU Dresden. In this project, you will learn to develop and apply novel deep machine learning (ML) methods, neural network and artificial intelligence approaches to extend the reach of accurate computational methods to study strongly correlated quantum matter. The focus will be the development of novel Neural Quantum States, deep learning approaches to design quantum computing (QC) algorithms, and AI and ML techniques to improve state-of-the-art quantum Monte Carlo methods.
Submitted by
dobrautz on Fri, 24/01/2025 - 23:33.
Application deadline:
Friday, February 28, 2025
Submitted by
mgbukov on Sun, 29/09/2024 - 13:25.
The Nonequilibrium quantum dynamics group (https://www.pks.mpg.de/nqd ) at the Max Planck Institute for the Physics of Complex Systems (https://www.pks.mpg.de/) in Dresden (Germany) is looking to hire a PhD student to work at the intersection of quantum many-body physics and reinforcement learning (RL).
Submitted by
anazir on Thu, 29/02/2024 - 12:30.
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.
Submitted by
mgbukov on Fri, 10/03/2023 - 15:04.
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.
Application deadline:
Monday, November 15, 2021
Postdoc and PhD positions in theoretical physics:
Machine Learning for Quantum Technologies
Submitted by
jankolo on Thu, 01/07/2021 - 19:59.
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.
Submitted by
bouchard on Wed, 30/12/2020 - 08:26.
Application deadline:
Sunday, February 28, 2021
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.
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