PhD: AI-Driven Nano-Laser Optics for Power-Efficient Fibers

Danmarks Tekniske Universitet; Ørsted; On-site; DKK 330,000 - 390,000; Full time

Job summary

DTU Electro invites applications for a PhD position focusing on AI-driven optimization of optical links based on nano-lasers. The project aims to maximize spectral efficiency and minimize energy use while maintaining high data rates, under the POPCOM and NANOPHOTON programs.

The candidate will develop signaling optimization frameworks, study energy-efficient transmitter/receiver architectures, and participate in algorithm development and experimental implementation within a 3-year scholarship.

Qualifications

• Two-year master's degree or equivalent in a related field.
• Strong background in fiber optics, laser-physics, or optical communications.
• Experience with ML/AI-based optimization applied to communication systems is a plus.

Responsibilities

• Develop AI-driven methods for mitigating impairments in short-range optical links.
• Advance transmitter/receiver architectures for power-efficient signaling.
• Implement and test algorithms with energy constraints and spectral efficiency goals.
• Maintain a GitHub repository and organize joint experiments with collaborators.
• Publish results within the DTU POPCOM/NANOPHOTON framework.

Skills

Fiber optics

Laser physics

Communication engineering

Machine learning

AI optimization

Education

Master's degree (2-year)

Tools

Python

TensorFlow/PyTorch

GitHub

Job description

DTU Electro invites applications for a PhD position focusing on AI-driven optimization of optical links based on nano-lasers. The project aims to maximize spectral efficiency and minimize energy use while maintaining high data rates, under the POPCOM and NANOPHOTON programs.

The candidate will develop signaling optimization frameworks, study energy-efficient transmitter/receiver architectures, and participate in algorithm development and experimental implementation within a 3-year scholarship.