Digital & Data
PhD scholarship in AI-Driven Optimization of Optical Links based on Nano-Lasers - DTU Electro
Summary
The PhD project develops AI-driven methods to optimize nano-laser-based optical links for energy-efficient signaling while maintaining high data rates. It combines algorithm development with experimental implementation.
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Opportunity summary
DTU Electro invites applications for a PhD position in AI-driven optimization of optical links based on nano-lasers, within the Villum Investigator program "Power-Efficient Fiber-Optic Communication" (POPCOM) and DNRF Center for NanoPhotonics (NANOPHOTON). The position focuses on developing signaling optimization frameworks to maximize spectral and power efficiency.
As data-center traffic continues to grow, the energy consumption of optical links has become a critical bottleneck, with power efficiency (measured in J/bit) increasingly rivaling spectral efficiency as a key performance metric.
This project will investigate how AI-driven techniques can jointly optimize nano-laser-based transmitters and their waveforms to reduce energy consumption while sustaining high data rates, contributing to more sustainable next-generation optical communication infrastructure.
Responsibilities and qualifications We seek a motivated, curious, and outgoing PhD candidate with a solid background in fiber optics, laser-physics, communication engineering, machine learning, and AI-based agentic frameworks. Experience applying machine learning or AI-based optimization frameworks to communication systems and laser modelling, as well as experimental work, is a plus1 …
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