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Machine Learning Researcher for Quantum Spin Systems

vor 2 Monaten


Hamburg, Hamburg, Deutschland Universität Hamburg Vollzeit

Research Associate Position in Quantum Machine Learning

The I. Institute of Theoretical Physics at Universität Hamburg is seeking a highly motivated and talented Research Associate to join our research group on 'Topology in Condensed Matter Systems'. This position offers an exciting opportunity to contribute to cutting-edge research at the intersection of quantum physics, machine learning, and condensed matter physics.

About the Project

This project focuses on developing efficient machine learning algorithms for simulating the dynamics of topological excitations in spin systems. We aim to achieve fast-time-scale coherent control of these quasiparticles, a feat previously only demonstrated on an adiabatic timescale. The project combines expertise in dynamics, topology, and quantum machine learning.

Your Responsibilities

  • Conduct research in machine learning algorithms applied to quantum systems, specifically focusing on anyonic excitations and spin systems.
  • Collaborate with team members from Universität Hamburg and international partners.
  • Publish research findings in scientific journals and present at international conferences.
  • Contribute to the machine learning task force within the Cluster of Excellence 'CUI: Advanced Imaging of Matter'.
  • Engage in teaching activities, delivering four hours per week during designated teaching periods.

Qualifications

We are seeking a candidate with a strong background in machine learning and/or quantum physics. A PhD in a relevant field is preferred. Excellent communication and collaboration skills are essential.

Benefits

This position offers the opportunity to work at a leading research institution, contribute to groundbreaking research, and collaborate with a talented team of scientists. Universität Hamburg provides a stimulating academic environment with a strong emphasis on interdisciplinary research and collaboration.