Careers and PhD Opportunities

Vacancies

2 x Postdoctoral Research Associates (Heriot Watt)

Please note that these positions are not funded by Q-BIOMED but would be working closely with researchers from the Hub.

Our co-investigator Cristian Bonato is seeking two postdoctoral Research Associates to join their team's work on the development and deployment of real-time autonomous optimisation of nuclear spin sensing and control (see for example these recent results: Phys. Rev. Applied 21, 024026 (2024), PRX Quantum 7, 020360 (2026)).

The two positions are intended to complement each other and will work closely together at the interface of machine learning and quantum technology:

• Computational Postdoctoral Research Associate (background in AI, machine learning, applied mathematics, computer science, or theoretical physics), will develop algorithms based on Bayesian experimental design, variational Bayesian inference, and reinforcement learning to enable autonomous detection and control of individual nuclear spins. This is relevant, for example, for nanoscale magnetic resonance imaging (see this roadmap paper for more information: Nanotechnology 35, 412001 (2024)).

• Experimental Postdoctoral Research Associate (background in experimental quantum technologies; experience with NV centres in diamond or other colour centres is particularly desirable), will further develop our real-time adaptive quantum sensing platform and lead experimental demonstrations of AI-driven quantum control for nuclear-spin quantum technology.

Both positions will be based at Heriot-Watt University (HWU) in Edinburgh, consistently recognised as one of the most attractive and vibrant cities in the UK in which to live and work. HWU offers a collaborative and internationally connected research environment in both quantum technology and AI, and the successful candidates will work closely with partners across the quantum technology hubs, including the "Quantum Sensing hub for Biomedical Research" (Q-BIOMED). For both positions, we require excellent python skills.

For more information, please visit the group website and contact Prof Cristian Bonato (c.bonato@hw.ac.uk) as soon as possible