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  Exploring bio-inspired collective light-matter interactions in the solid-state


   Institute of Photonics and Quantum Sciences (IPaQS)

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  Dr E Gauger, Dr Brian Gerardot  No more applications being accepted  Competition Funded PhD Project (Students Worldwide)

About the Project

Super- and sub-radiance are quintessential quantum effects of relevance across natural photosynthesis and quantum technologies. In this project we will create the first fully coherent, scalable, and controllable artificial platform for exploring, analysing and tailoring such effects in the condensed matter.

Two PhD position are available, one focussing primarily on experimental research, the other primarily on theory. The experimental PhD student will develop a novel experimental platform based on nanophotonic structures and perform spectroscopy and quantum optics of the collectively coupled indistinguishable quantum emitters. The theory PhD student develop and explore experimentally accessible signatures of collective light-matter coupling effects for small ensembles of condensed-matter emitters via analytical master equations and numerical code.

The project is a joint experimental-theory collaboration between the Quantum Theory Team led by Prof. Erik Gauger and the Quantum Photonics Lab led by Prof. Gerardot. In addition to these advertised PhD studentships, it will also be supported by two dedicated postdoctoral researchers. The experimental PhD project offers a rare opportunity to gain a wide spectrum of experience in a dynamic world-class laboratory and develop expertise in semiconductor device design, nano-photonics, laser spectroscopy and quantum optics, cryogenics, and sophisticated electronics. The research is multi-disciplinary, involving condensed-matter physics, quantum optics, materials science, and quantum information processing. The theory PhD will take place in a diverse and vibrant theoretical group whose research interests and expertise span bio-inspired light-harvesting, quantum-enhanced sensing and imaging, (optimal) quantum control, modelling open quantum systems, and adopting approaches from machine learning, information geometry, tensor networks, and high performance computing.

Suitable applicants will have a 1st class undergraduate degree (or equivalent) in physics, or a closely related discipline.  

Physics (29)
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 About the Project