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Description
AI-Driven Automated Simulation & Mechanical Analysis to develop agentic AI workflows integrated with commercial TCAD and FEA tools to automate device physics and mechanical property analysis for accelerating pixel architecture development and panel-level performance evaluation Virtual Prototyping & Process-Device Co-Optimization to construct realistic virtual stack-ups through process simulation to enable faster DFMEA/PFMEA and provide design guidance on film characteristics and reliability AI-incorporated failure analysis and characterization to quickly identify the root cause and corrective action Advanced Modeling & Strategic EDA Integration to deploy AI-enhanced compact models (SPICE/Verilog-A) to capture complex TFT behaviors and lifetime degradation Responsible for TFT process of various TFT backplanes Work with various display manufacturers from development to mass production stage Fundamental study to seek future candidate of TFT technologies Collaboration with cross-functional teams including, but not limited to: Display Optics, Touch, Display EE and Mechanical Engineering and so on
Minimum Qualifications
Bachelor's Degree in Electrical Engineering, Materials Science and Physics TFT industry experience Proficiency written and verbal communication skills
Preferred Qualifications
Ph.D in Electrical Engineering, Materials Science and Physics M.S degree in above mentioned disciplines plus 4 years of TFT industry experience Hands-on, in-depth technical knowledge, and proven track record on development of various TFT technologies Strong device physics background on various TFT technologies: a-Si, oxide and LTPS Sound understanding of overall display manufacturing control, yield improvement and reliability requirements
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