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.

Who we are

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.

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.

Strong interactions with world-leading experimental groups active are expected during the lifetime of the project.

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!)

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.