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PhD in Optical Characterization and Photonic Performance Analysis of Liquid Crystal Polymer Coatings
physics Physics » Optics Researcher Profile First Stage Researcher (R1) Application Deadline 30 Jul 2026 - 21:59 (UTC) Country Netherlands Type of Contract Temporary Job Status Not Applicable Hours Per Week
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telecommunication, quantum and optical computing, AI datacenters, non-intrusive sensing, LiDAR, and intelligent manufacturing are all fast-evolving application fields utilizing integrated photonics, presenting
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motivated PhD candidate to develop next-generation one-way transparent optical films based on liquid crystal polymer technology. The position is embedded in the research group of Dr. Danqing Liu at Eindhoven
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Are you passionate about shaping the future of AI infrastructure? Join us to develop innovative photonic technologies that enable ultra-fast, energy-efficient, and highly scalable optical
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infrastructure? Join us to develop innovative photonic technologies that enable ultra-fast, energy-efficient, and highly scalable optical interconnects for next-generation AI compute clusters. Information
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setup in which gas composition, pressure, flow rate and surface temperature can be controlled. Using optical imaging techniques such as back-light imaging and Schlieren, you will study solid CO₂ layer
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these challenges by using piezo-electric and/or optical fiber based sensor system, combined with physics informed data analysis method, exploiting the digital twin model developed by the first PhD project. In
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Are you inspired by developing the next generation of intelligent photonic chips? Join us to pioneer heterogeneously integrated photonic technologies for ultra-fast, energy-efficient optical
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affected by environmental and operational conditions. This project aims to tackle these challenges by using piezo-electric and/or optical fiber based sensor system, combined with physics informed data
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, optical losses still limit device performance. Reflection losses, parasitic absorption, and incomplete spectral splitting reduce the efficient use of sunlight in tandem architectures. In this PhD project