Adaptive learning for spin-based quantum imaging
We offer an 18-months post-doctoral position for a motivated researcher to join our work on the application of machine learning to quantum sensing and imaging. This research is funded by the UK Quantum Enhanced Imaging hub. The researcher is expected to design and benchmark algorithms to optimise quantum sensing and imaging with single electron spins, for application to magnetic field imaging and nanoscale magnetic resonance. While the position is theoretical/numerical in nature, we expect the candidate to work proficiently with experimentalists to implement the proposed algorithms.
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