Our recently established collaborative research initiative “Machine Learning for Complex Quantum States” (MLCQS) – a consortium spanning nine different institutions across Germany and Switzerland – is seeking to fill several PhD positions.
The National Physical Laboratory (NPL), the UK’s national metrology institute and a world-leading centre for measurement science and innovation, is hiring motivated researchers at multiple seniority levels to join our Quantum Software & Modelling team, contributing to NPL’s role in realising the UK’s Quantum Technologies missions.
This is an exciting opportunity to work on cutting-edge research in one or more of the following areas:
The National Physical Laboratory (NPL), the UK’s national metrology institute and a world-leading centre for measurement science and innovation, is hiring motivated researchers at multiple seniority levels (permanent contract) to join our Quantum Software & Modelling team, contributing to NPL’s role in realising the UK’s Quantum Technologies missions.
This is an exciting opportunity to work on cutting-edge research in one or more of the following areas:
We invite applications for a postdoctoral associate position in theoretical quantum information science in the Physics Department of Virginia Tech.
The successful candidate will work in areas related to quantum information theory, quantum error correction, and machine learning. The position will start in fall 2026 and will be for two years, with a possible 1-year extension pending availability of funding.
We are looking for a highly motivated candidate for a fully-funded interdisciplinary PhD position between quantum computing, condensed matter physics and quantum chemistry, starting in either spring or fall 2026, at Université de Montréal (UdeM), in the vibrant city of Montréal in Québec, Canada!
Supervisors: Prof Michel Côté (Physics), Prof Matthias Ernzerhof (Chemistry) and Prof Hlér Kristjánsson (Computer Science) at the University of Montréal and Mila – Québec AI Institute
Collaboration with Dr Simon Verret, quantum developer at Université de Sherbrooke
The School of Computational Sciences at Korea Institute for Advanced Study (KIAS) invites applicants for the positions at the level of postdoctoral research fellow in Computational Sciences.
Our group builds artificial intelligence systems for discovering new concepts, experiments and ideas in physics.
To accelerate this effort, we need your help!
We have several fully-funded open PhD and Post-Doc positions (m/f) at the University of Tübingen, one of Europe’s most vibrant hub for artificial intelligence research.
A list of concrete potential projects:
• Development of modern auto-differentiation (JAX-based) physics simulators for the discovery of new physics experiments
CNRS Junior Professor Chair in Quantum Science at the intersection between Physics and Computer Science.
The position will be in the group of Prof. Robert Raußendorf and under the leadership of Martin Plávala. You will be working on using machine learning to construct verifiable witnesses of entanglement and quantum nonlocality. The goal of the project is to construct such witnesses in high-dimensional cases where other methods fail due to a lack of computational resources. The applications will include witnessing entanglement of quantum states, witnessing high-dimensional steering, and witnessing nonlocality in Bell scenarios and quantum networks.
The development of quantum technologies and machine learning are two of the most dynamic research directions of our time. Within the Helmholtz Young Investigator Group “Machine Learning for Quantum Technology” we aspire to merge the parallel advancements of both fields, where quantum challenges match the natural strengths of machine learning and, reversely, the quantum applications call for the development of new machine learning techniques. Therefore, our research targets the exciting intersection of (non-equilibrium) quantum matter, quantum information, and machine learning with the goal of unveiling previously unexplored many-body physics and devising interactive strategies to manipulate artificial quantum systems. The Young Investigator Group is part of the Peter Grünberg Institute - Quantum Control (PGI-8) at Forschungszentrum Jülich, which specializes in novel optimal control strategies for emerging quantum technologies. Current research directions include tensor network methods, machine learning, in-situ optimal control, and quantum many-body phenomena.
