This international workshop covers applications of machine learning to quantum devices.
Scientific Organization: Florian Marquardt
Organization: Gesine Murphy
- Hans Briegel, Innsbruck
- Evert van Nieuwenburg, Caltech
- Roger Melko, Waterloo
- Alan Aspuru-Guzik, Toronto
- Barry Sanders, Calgary
- Jens Eisert, Berlin
- Paul Baireuther, Leiden
- Fabio Sciarrino, Rome
Join a new team working in a highly interdisciplinary and rapidly evolving area of science. Our long-term goal is to develop neural-network-based autonomous scientific discovery. Right now, we are exploring applications in diverse topics like quantum computing and photonics. We offer PhD and postdoc positions. Very good programming skills are required (experience with machine learning is a bonus, but not obligatory).
The team is directly headed by Florian Marquardt, who is also leading the theory division at the Max Planck Institute for the Science of Light (MPL). The PhD positions at the Max Planck Institute run for three years (we offer a competitive salary, E13 75%). The postdoc positions run for two years, with a possible extension by another year. The theory division explores a variety of other areas, including photonic and phononic structures, optomechanics, quantum optics, and quantum many-body theory.
For more information on the topic, see our recent lectures “Machine Learning for Physicists” and our recent manuscript on reinforcement learning, where strategies are discovered from scratch: arxiv.org/abs/1802.05267.
For inquiries, please send your CV to Gesine Murphy, cc to Florian Marquardt.
This job offer was first posted March 2018. The number of positions to be filled will depend on the number of qualified candidates who apply.
So-called snowflake phononic crystals will be great for topological phononics!