About the project
HCFs guide light in an air core through a delicately designed microstructure, allowing light to travel faster, with less degradation and more power than traditional glass fibres. These fibres have real-world applications ranging from data-centres to industrial machining lasers, and the fibres designed in this project could span oceans, deliver quantum communications or monitor fusion reactors.
Over the last 5 years, we have led a rapid transformation of these fibres. However, as the fibre designs have become more complex and the number of design parameters has increased, we now aim to harness the power of AI to rapidly explore a vast range of design spaces to discover designs for the next generation of Hollow Core fibre.
Role and Responsibilities
During this project, you will:
- develop and test machine learning approaches to fibre design
- identify new designs for hollow core fibres
- develop the fabrication of promising fibre designs.
About You
We are looking for candidates with a strong interest in AI and its applications in design optimisation tasks. This project will not only develop machine learning frameworks to design better hollow core fibres but will also deliver new ways of understanding the fundamental physics of how these fibres work, and how the design parameters influence the performance of these fibres.
Join Us
This is a unique opportunity to work with a world leader in HCF technology and Microsoft Azure, who fabricate fibre in their dedicated facility near Southampton. If you are ready to leverage the power of AI to design the future of optical fibres, we would love to hear from you.
Entry requirements
Fees and funding
EU and Horizon Europe students are eligible for scholarships. CSC students are eligible for fee waivers. Funding for other international applicants is very limited and highly competitive. Overseas students who have secured or are seeking external funding are welcome to apply.
How to apply
You need to:
- choose programme type (Research), 2024/25, Faculty of Engineering and Physical Sciences
- choose PhD in Optoelectronics Research Centre (ORC) (Full time)
- add supervisor Dr Greg Jasion in section 2
Applications should include:
- your CV (resumé)
- 2 reference letters
- degree transcripts to date
Contact us
Faculty of Engineering and Physical Sciences
If you have a general question, email our doctoral college (feps-pgr-apply@soton.ac.uk).
