The convergence of artificial intelligence (AI) and optical technologies presents a groundbreaking opportunity to address challenges in modern communication systems. Optical technologies, driven by the increasing demands for high-speed communication, sensing, and displays, have demonstrated remarkable potential for energy-efficient and scalable solutions. Simultaneously, the evolution of AI has opened new frontiers for intelligent system design.
The role
This project aims to explore the development of all-optical neural networks and all-optical computing paradigms to enable next-generation communication systems. By employing diffractive models and other optical computing techniques, this research will develop energy-efficient optical systems tailored to satisfy future communication system requirements and to overcome critical communication channel impairments, including mobility-induced fading, diffusion effects, and atmospheric turbulence.
About you
The candidate must demonstrate a strong theoretical background in mathematics, statistical analysis, communication systems theory, and photonics. It is expected that the developed algorithms and technologies are validated via proof-of-concept lab experiments during the PhD program. Hence, previous lab work experience is desirable. The student will benefit from interacting with a world-leading research group at the University of Cambridge as well as partner institutions in the UK and internationally.
Applicants should have (or expect to obtain by the start date) at least a good 2.1 degree in an Engineering or related subject.
Funding
EPSRC DLA studentships are fully-funded (fees and maintenance) for students eligible for Home fees. EU and international students may be considered for a small number of awards at the Home fees rate.
The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.