Advanced technological applications demand high performance devices, which in turn require exceptional materials. Focussing on the fundamental materials research and development necessary to move this innovation beyond the laboratory to next-generation photonic devices and systems the group have already developed and patented an innovative technique towards purely fibre based systems.
A fibre based system is preferable as it avoids the use of heterogeneous, discrete optoelectronic components to transform in-fibre photonic signals to chip-based electronic signals which is complex and high in cost.
Supervisor: Dr Pier Sazio
Co-supervisors: Professor Dan Hewak and Professor Mike Zervas
The last few years have seen dramatic progress in the area of hollow fibres and in particular the development of a competing technology to photonic bandgap fibres based on a much simpler optical design, which are far easier to fabricate for both short and long wavelength transmission and have been demonstrated to have a greatly reduced overlap between the light travelling within the fibre and the silica forming the cladding. This novel form of hollow core optical waveguide is known as the anti-resonant fibre. In this PhD studentship, the candidate will investigate an innovative waveguide platform based on composite material hollow core fibres which are able not only to transmit optical signals with low attenuation over a broad wavelength range of operation, but can also actively manage and control the transmitted signals, through modulation, amplification or light generation and frequency conversion.
This ambitious project would thus be suitable for a bright, motivated candidate with a strong physics/materials/engineering related background to develop highly transferable skills in materials growth, advanced numerical modelling and fibre device characterisation whilst interacting with a wide range of experts leading in the field.
Supervisor: Dr Pier Sazio
Co-supervisors: Professor Dan Hewak, Dr Nikitas Papasimakis and Dr Ioannis Zeimpekis
Two-dimensional (2D) materials have attracted global interest for atomically thin next-generation electronic and optoelectronic devices, opening up exciting opportunities for technological applications at the monolayer limit. Their extraordinary properties could revolutionise areas ranging from printed electronics to life sciences, imaging and quantum technologies to name just a few. However, the synthesis of these materials is often complex and capital intensive, relying mainly on vacuum based processing tools. In this PhD studentship, the candidate will contribute to the development of a facile, low cost system exploiting direct laser printing of 2D semiconductor based nanodevices. This new technology allows film patterning on various substrates, including flexible and curved, all processed under room temperature ambient conditions with instant spectroscopic feedback, making it highly suitable for neural network driven, scalable rapid prototyping and additive manufacture.
This AI driven project would thus be suitable for a highly motivated candidate with a strong physics/materials/engineering related background and programming abilities to develop highly transferable skills in cleanroom sample fabrication and electronic/photonic device characterisation, laser materials processing, numerical simulations and machine learning with input from industry partners and working with leading academic experts.