PhD scholarship in High-Speed Hyperspectral and Super-Resolution Terahertz Imaging - DTU Electro

Are you interested in pushing terahertz (THz) imaging beyond today’s limits in speed, bandwidth, and spatial resolution? At DTU Electro, you will work at the interface of ultrafast THz photonics, nonlinear optical detection, coherent imaging, and machine learning to develop a new generation of high-speed hyperspectral THz imaging technology. The PhD project is part of the DFF-funded INSPIRING project (High-speed hyperspectral and super-resolution terahertz imaging). INSPIRING will combine broadband THz-to-near-infrared upconversion with CMOS-array detection to enable high-speed THz imaging. Your main role will be to establish the imaging platform and develop hyperspectral and machine-learning methods for super-resolution imaging and material identification. You will work in an international, interdisciplinary team at DTU Electro. The project includes a planned 3–6-month research stay in Prof. Xi-Cheng Zhang’s group at the University of Rochester, USA.Responsibilities and qualifications Your research will focus on high-speed coherent THz imaging with machine learning. You will:

• Develop and operate a broadband coherent THz imaging platform using optical rectification and/or laser-induced plasma THz sources.
• Implement wide-field imaging based on THz-to-NIR upconversion and CMOS focal-plane-array detection.
• Acquire and analyze time-domain hyperspectral THz data with a target bandwidth above 10 THz.
• Apply machine-learning methods, including CNN and autoencoder-type architectures, for super-resolution reconstruction and material identification.
• Study semiconductors, polymers, multilayer structures, and industrial test samples, and collaborate with project partners in Denmark and abroad.
• Publish your results in peer-reviewed journals and present them at international conferences.

• A letter motivating the application (cover letter)
• Curriculum vitae
• Grade transcripts and BSc/MSc diploma (in English) including official description of grading scale