PhD: AI-Driven Nano-Laser Optics for Efficient Links

DTU - Technical University of Denmark; Kongens Lyngby; On-site; DKK 360,000 - 460,000; Full time

Job summary

DTU Electro invites applications for a PhD position on AI-driven optimization of optical links based on nano-lasers, under the POPCOM program and NANOPHOTON center. The project focuses on developing signaling optimization to maximize spectral and energy efficiency while reducing J/bit energy consumption.

The role combines algorithm development with experimental implementation, covering reinforcement learning, physics-informed networks, and data-driven models, with a 3-year appointment and a 30

Qualifications

• Background in fiber optics and laser-physics.
• Experience with machine learning and AI-based optimization.
• Experience applying ML/AI to communication systems and laser modelling is a plus.

Responsibilities

• Develop AI-driven optimization framework for nano-laser-based transmitters and waveforms.
• Realize robust transmitter and receiver architectures for power-efficient signaling at high spectral efficiency.
• Maintain and extend codebase (GitHub) and organize joint experiments with collaboration groups.

Education

Two-year master's degree

Job description

DTU Electro invites applications for a PhD position on AI-driven optimization of optical links based on nano-lasers, under the POPCOM program and NANOPHOTON center. The project focuses on developing signaling optimization to maximize spectral and energy efficiency while reducing J/bit energy consumption.

The role combines algorithm development with experimental implementation, covering reinforcement learning, physics-informed networks, and data-driven models, with a 3-year appointment and a 30