Supervisory Team : Nikitas Papasimakis, Eric Plum, Kevin MacDonald, Nikolay Zheludev
Artificial intelligence and machine learning are the most important new methodologies for scientific research since introduction of quantum mechanics.
With their emergence, computers have become capable of intuition, of learning from experience, and of finding answers to problems that are not fully understood or that are too complex to solve directly.
This project will explore some of the extensive and exciting range of application opportunities presented in photonics. Major challenges include information transfer with structured light, inverse design of optical materials with predefined properties, complex light field generation for microscopy with molecular resolution and devices for next-generation metrology, and the study of new forms of optical spectroscopy.
Our Research Group
You will join a diverse multinational team of students, postdoctoral and academic staff working together on aspects of cutting-edge nanophotonics research seeking to control light and light-matter interactions at the sub-wavelength scale.
A remarkable range of new phenomena is found in this regime, with wide-ranging potential applications in, for example, telecommunications, metrology, sensing, defence, super-resolution imaging, and data storage.
Our work is supported by major nanophotonics research grants from the EPSRC (£5.6M) and the European Research Council (€2.6M).
You will have opportunity to develop advanced skills in experimental photonics, computational electromagnetic modelling, application of machine learning and artificial intelligence, electron and optical microscopy, and nanofabrication.
It is expected that students will publish papers in leading academic journals and present their work at international conferences as their research progresses.
For further information see :