Overview
Applications are invited for a fully funded 4‑year PhD studentship at the University of Cambridge to conduct research into resilient, reconfigurable optical networks, in collaboration with BT under the Industrial Doctoral Landscape Award (IDLA) scheme.
Network resilience is the ability of a system to prevent, withstand, and recover from failures. As optical networks become increasingly reconfigurable, the need for human intervention and site visits is reduced, offering the potential for enhanced resilience. However, reconfigurability introduces additional complexity and trade‑offs. Understanding the interplay between resilience and reconfigurability therefore requires a probabilistic framework capable of capturing uncertainty and its impact on network performance.
All communication networks operate under varying degrees of uncertainty, ranging from traffic fluctuations to uncertainties in physical layer parameters. In optical networks many parameters are not directly measurable and are instead specified using conservative, worst‑case assumptions. A paradigm shift is now emerging, driven by the availability of real‑time sensing data from advanced transceivers and the application of probabilistic machine‑learning techniques. These approaches enable improved estimation of network states: combining prior knowledge of uncertainty (a priori) with measurement‑driven updates (a posteriori) to produce more accurate predictions of failures and overall network availability.
Research Questions
* To what extent can sensing data from intelligent transceivers and network reconfigurability improve resilience?
* How can probabilistic machine learning be integrated with transceiver data and network metrics to estimate failure probabilities effectively?
* How can we characterize the Pareto front that defines the trade‑off between cost, complexity, and resilience?
* What changes are required in network design and operation to improve availability, for example from 99.999% ("five nines") to 99.9999% ("six nines")?
Responsibilities & Resources
* The successful candidate will be based in the Department of Engineering and will have access to the Fibre Optic Communication Systems Laboratory, including state‑of‑the‑art experimental infrastructure such as advanced transceivers, a 1200 km optical line system, a multichannel 120 GSa/s arbitrary waveform generator, and a multichannel 256 GSa/s digital oscilloscope for signal detection.
* The student will work closely with researchers at BT, benefiting from regular interaction, industry insight, and feedback from practitioners.
* The project also offers opportunities for broader engagement with partners across industry and academia.
Qualifications
Applicants should have, or expect to obtain, at least a good 2:1 honours degree (or equivalent) in engineering or a related discipline, such as computer science, mathematics, statistics, or physics.
Funding
EPSRC IDLA studentships provide full funding (tuition fees and maintenance) for eligible UK students, including a tax‑free stipend at the standard UKRI rate plus a £5,000 annual top‑up. The studentship is funded for four years.
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