PhD (EPSRC DLA) Studentship - Optical Deep Learning and Computing for Future Communication Systems

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. 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.

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.

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. Full eligibility criteria can be found via the following link; What is my fee status? | Postgraduate Study.

Applicants should have (or expect to obtain by the start date) at least a good 2.1 degree in an Engineering or related subject.

To apply for this studentship, please send your two page CV and transcripts to Dr Iman Tavakkolnia it360@cam.ac.uk (via the ‘Apply’ button above) to arrive no later than 28 February 2025. Applications may close early if the position is filled before this date.

Please note that any offer of funding will be conditional on securing a place as a PhD student. Candidates will need to apply separately for admission through the University's Graduate Admissions application portal; this can be done before or after applying for this funding opportunity. The applicant portal can be accessed via: PhD in Engineering | Postgraduate Study. The final deadline for PhD applications is 16 May 2025, although it is advisable to apply earlier than this.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

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