About the project
Super-resolution imaging and metrology now routinely break the classical optical diffraction limit. Leveraging recent advances in subwavelength control of light, metamaterials, information theory and artificial intelligence, this project will investigate the use of quantum light and quantum detectors in scenarios where classical light and its detection fail.
Optical imaging and metrology become increasingly difficult at the nanoscale, where objects, their dimensions, shapes, positions and displacements, are much smaller than the wavelength of light. Despite recent remarkable advances in label-free deep-subwavelength imaging and metrology, there are scenarios where classical methods do not perform satisfactorily or cannot be applied, and the use of non-classical light and single-photon detectors and detector arrays is necessary.
In this project you'll explore the use of single-photon detectors and detector arrays, in conjunction with non-classical light, to push the boundaries of deep-subwavelength label-free imaging and metrology. This might allow, for example, to sample the diffraction pattern of nanoscale objects interacting with single photons, to identify photon correlations within the scattered light patterns, or to infer three-dimensional information of an object from temporal correlations between entangled photons interacting with it. You'll do it through a blend of experimental activities, theoretical analysis and numerical modelling.
You'll join the Optoelectronics Research Centre (ORC), a world-leading photonics research organization, and collaborate closely with students, researchers and academic experts. You'll be encouraged to take initiative, develop and test your own ideas. You'll engage in collaborations, research meetings and present your work at major international conferences. Your research is expected to generate several papers in leading academic journals and contribute to shaping the future of this exciting field.
You'll gain transferable skills in experimental photonics, computational electromagnetic modelling, nanofabrication, machine learning, and electron and optical microscopy, preparing you for opportunities in academia and industry.
