We are looking for a junior research group leader at the interface machine learning/AI + Physics
here at the Max Planck Institute for the Science of Light in Germany.
Good package included (1 postdoc & 2 PhD positions; group runs typically for five years).
We are targeting applicants a few years after their PhD.
Quantum Computing Postdoctoral Scholar - 96805
Division: AM-Applied Mathematics and Computational Research
Reseserch:
Scalable superconducting qubits (models, theory, and foundation),
Searching for new correspondences between information to physics, i.e. quantum thermodynamics,
Solid-state quantum devices, e.g. topological phase slip, photovoltaic cells, light-harvesting photosynthetic complexes, etc.,
Non-equilibrium quantum field theory,
Quantum Machine Learning,
Quantum field theory and non-equilibrium statistical physics,
Submitted by
signatur on Wed, 01/07/2020 - 15:54.
Are you a talented and ambitious researcher? Are you excited about quantum science and technology? Do you enjoy finding working solutions to great challenges? You are then welcome to apply for an open PhD position on Multi-Qubit Quantum Photonic Devices in our group at DTU Fotonik.
Watch our Video
Submitted by
Fermilab on Tue, 07/04/2020 - 23:43.
Fermilab seeks outstanding applicants for a post-doctoral Research Associate position working on the ADMX search for axion dark matter particles and R&D towards future axion detection experiments. This position is aimed at exceptional recent PhD recipients with a proven research record from prior experience in experimental particle physics or astrophysics. Applicants with backgrounds in cryogenic detector development or quantum information science may also be considered. Fermilab is the lead lab for the ADMX-G2 experiment. In addition, Fermilab is actively involved in R&D on several new methods to detect axions taking advantage of new quantum sensor technologies. This position provides the opportunity to participate in the development of new projects targeting dark matter, and related detector R&D capitalizing on the broad range of scientific, computing, engineering, and technical expertise available at the laboratory.
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