We offer a fully funded 3-year PhD Student (f/m/d) in Machine Learning for Quantum Computing and Simulation of Quantum Matter. The successful PhD candidate (f/m/d) will be part of the interdisciplinary DRESDEN-concept Research Group AI 4 Quantum which is currently established at the Center for Advanced Systems Understanding (CASUS) of the Helmholtz-Zentrum Dresden-Rossendorf (HZDR) and the Center for Scalable Data Analytics and Artificial Intelligence Dresden/Leipzig (ScaDS.AI) at the Center for Interdiscip­linary Digital Sciences (CIDS) of the TU Dresden. In this project, you will learn to develop and apply novel deep machine learning (ML) methods, neural network and artificial intelligence approaches to extend the reach of accurate computational methods to study strongly correlated quantum matter. The focus will be the development of novel Neural Quantum States, deep learning approaches to design quantum computing (QC) algorithms, and AI and ML techniques to improve state-of-the-art quantum Monte Carlo methods.

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.