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 University’s Department of Physics invites applications for a PhD studentship funded by the Royal Society and the University of Exeter to commence on 1st October 2025 or as soon as possible thereafter. For eligible students the studentship will cover Home tuition fees plus an annual tax-free stipend for 4 years full-time, or pro rata for part-time study.

Are you passionate about shaping the future of quantum technologies? The internationally recognized Quantum Information Technologies Research Group at the University of Warsaw, led by Prof. Magdalena Stobińska, is seeking an exceptional PhD candidate to join our dynamic team.

You will be directly involved in groundbreaking quantum research with real-world applications, working with state-of-the-art topics. We maintain active collaborations with world-leading institutions including Imperial College London, University of Vienna, Sorbonne University, and the European Space Agency. These partnerships provide regular opportunities for international travel, conferences, and research visits.

We’re advertising a 3-year PhD position in the QURIOSITY Group of Inria Paris Saclay, based at Télécom Paris.

The successful candidate will work closely with Mirjam Weilenmann at the intersection of quantum foundations and quantum Information theory. A master’s degree in Mathematics, Physics or Computer science is required, expertise in quantum information, quantum technologies and/or convex optimisation is further desirable. The starting date should ideally be in Autumn 2025, but there is some flexibility.

Quantum computing is at the cutting edge of technological innovation, offering the potential to solve complex problems that classical "binary" computers cannot address. Tensor algebra, with its comprehensive mathematical framework, offers crucial tools for modeling and approximating large multidimensional datasets. This thesis seeks to investigate the interplay between tensor networks and quantum computing by proposing original, robust (to decoherence of qubits) quantum algorithms that utilize tensor structures to improve computational efficiency and capabilities. This research requires a multidisciplinary understanding of quantum physics and linear algebra. This thesis topic will benefit from the complementary expertises of Remy Boyer (CRISTAL/SIGMA) for the multilinear algebra aspect and Giuseppe Patera (PhLAM, Quantum Information team) for the quantum physics aspect.