Machine Learning for Physics: Postdoc positions available

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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 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 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. Our group has a dedicated cutting-edge GPU cluster available (nVidia DGX-1).

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.