machine learning

Application deadline: 

Saturday, July 31, 2021

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.

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.

Application deadline: 

Monday, October 26, 2020

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.

Application deadline: 

Tuesday, September 1, 2020

Applications are invited for a postdoctoral research position with a possibility for extension, in the field of theory of quantum computations and quantum algorithms. The position will be held at Skolkovo Institute of Science and Technology (Skoltech), Moscow, Russia. The start date is flexible.
The successful applicant will work in the research group led by Prof Jacob Biamonte in the area of quantum computations and quantum networks, with a focus on quantum enhanced algorithms and error mitigation on experimental devices.

Application deadline: 

Friday, July 10, 2020

A three-year PhD studentship (comprising stipend and fees) is available to international students to work with Alessandro Ferraro and Mauro Paternostro at the Quantum Technology group, School of Mathematics and Physics, Queen's University Belfast.

The project will focus on the use of machine learning techniques for quantum information processing, with particular emphasis on quantum state and process engineering in photonics quantum networks.

Application deadline: 

Sunday, April 5, 2020

The Quantum Information and Inference group led by Jan Kolodynski at the Centre of New Technologies (CeNT) of the University of Warsaw offers a 2(+1)-year postdoctoral position within the project Continuously Monitored Quantum Sensors: Smart Tools and Applications (C'MON-QSENS!)

Application deadline: 

Wednesday, March 11, 2020

We offer a 2-years PhD position (with possible extension) for a motivated researcher to join our work on adaptive quantum sensing. Our goal is to develop an automatic quantum sensor, based on a single spin in diamond, enhanced by machine learning algorithms. The sensor will automatically optimize its settings to operate in conditions of maximum sensitivity, minimizing the estimation times.

Application deadline: 

Wednesday, July 1, 2020

The Quantum Information Group (GIQ) of the Universitat Autònoma de Barcelona (UAB) offers a postdoctoral position within the project C'MON-QSENS!
(Continuously Monitored Quantum Sensors: Smart Tools and Applications) funded by QuantERA EU program in Quantum Technologies. The appointment will be for a two years term, (possibly) renewable for a third year.

Application deadline: 

Wednesday, September 4, 2019

Post Doctoral position, Quantum Machine Learning (QML): A post doc position is available to develop novel hybrid quantum - deep learning algorithms for next-generation quantum computing. The hybrid algorithms, which combine the strengths of AI and quantum algorithms, will be used to solve problems of quantum control and of mathematical physics. Emphasis will be placed on the explainability of the designed AI (XAI) without loss of performance. Qualifications: Ph.D.

Looking for excellent PhD students to join and build a group at @VectorInst on topics at the intersection between machine learning and quantum many-body physics and quantum technology. If you are interested get in touch with me and/or apply to @UWaterloo Physics and Astronomy. A good knowledge of quantum mechanics, statistical physics, and machine learning would be great, but ultimately the important thing is that you are genuinely excited about quantum many-body physics

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