PhD: High-Speed Hyperspectral THz Imaging & ML

Technical University of Denmark; Kongens Lyngby; On-site; DKK 350,000 - 420,000; Full time

Job summary

Technical University of Denmark (DTU) Electro invites applications for a PhD project focusing on high-speed hyperspectral terahertz imaging. You will work at the interface of ultrafast THz photonics, nonlinear detection, coherent imaging, and machine learning to push imaging speed, bandwidth, and resolution.

The project includes international collaboration and a potential 3–6 month research stay at Prof. Xi-Cheng Zhang’s group, University of Rochester.

Qualifications

• PhD in a relevant field (physics, electrical engineering, or closely related disciplines).
• Strong publication record and experience with ultrafast photonics or THz sensing.
• Experience applying machine learning to imaging or signal processing.
• Good collaboration skills and ability to work in international teams.

Responsibilities

• Develop and operate a broadband coherent THz imaging platform.
• Implement wide-field imaging based on THz-to-NIR upconversion and CMOS detection.
• Acquire and analyze time-domain hyperspectral THz data (>10 THz bandwidth).
• Apply CNNs and autoencoder architectures for super-resolution reconstruction and material identification.
• Collaborate across Denmark and international partners; publish results and present at conferences.

Skills

Machine learning

THz imaging

CNN

Autoencoder

Education

PhD in physics/electrical engineering or related

Tools

CMOS focal-plane array

Optical rectification

Laser-induced plasma THz sources

Job description

Technical University of Denmark (DTU) Electro invites applications for a PhD project focusing on high-speed hyperspectral terahertz imaging. You will work at the interface of ultrafast THz photonics, nonlinear detection, coherent imaging, and machine learning to push imaging speed, bandwidth, and resolution.

The project includes international collaboration and a potential 3–6 month research stay at Prof. Xi-Cheng Zhang’s group, University of Rochester.