# Numerical Quantum Physics # Neural Quantum States # Machine Learning # Method development

Postdoc in Machine Learning for Classical Simulation of Many-Body Quantum Systems and Quantum Computing

Submitted by Filippo Vicentini on Thu, 04/04/2024 - 16:00.

The Chair for Artificial Intelligence and Quantum Physics at the Theoretical Physics Laboratory (CPHT) of Ecole Polytechnique, Paris, is opening a call for 1 Postdoctoral fellow at the interface between Machine Learning, Classical Simulation of Many-Body Quantum Systems and Quantum Computing.

Postdoctoral fellow on Machine Learning for Quantum Physics

Submitted by Filippo Vicentini on Thu, 05/10/2023 - 01:24.

The Chair for Artificial Intelligence and Quantum Physics at the Theoretical Physics Laboratory (CPHT) of Ecole Polytechnique, Paris, is opening a call for 2 Postdoctoral fellows at the interface between Machine Learning, Classical Simulation of Many-Body Quantum Systems and Quantum Computing.

PhD in Machine Learning for Many-Body Quantum Physics in Ecole Polytechnique, Paris

Submitted by Filippo Vicentini on Mon, 10/07/2023 - 01:39.

The position has been filled as of 27 July 2023 and the call is now closed.

The Chair for Artificial Intelligence and Quantum Physics at the Theoretical Physics Laboratory (CPHT) of Ecole Polytechnique, Paris, is opening a call for a PhD student at the interface between Machine Learning and Classical Quantum Simulation of Many-Body Quantum Systems.

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