Research Assistant; PhD student

【SSR Lab 徵才｜研究助理、博士生、博士後研究員】Smart Structure and Reliability Lab（SSR Lab）現正招募研究助理、博士生及博士後研究員，共 2 個名額，分別參與以下研究計畫：一、半導體製程可靠度分析研究內容聚焦於半導體製程與材料的可靠度建模、失效分析及不確定性量化。申請者須具備：可靠度理論相關基礎半導體製程或材料相關背景具機器學習知識或應用經驗者尤佳二、離岸風機系統之數位孿生架構建立研究內容聚焦於離岸風機系統的結構分析、可靠度評估，以及數位孿生模型與監測架構之建立。申請者須具備：可靠度理論相關基礎結構力學相關背景具機器學習知識或應用經驗者尤佳招募對象：專任研究助理博士班學生博士後研究員薪資待遇：依國科會及國立臺灣大學相關標準辦理，並視學歷、研究經驗與工作內容核定。此外，也歡迎對上述研究方向有興趣的碩士生及大學專題生加入實驗室。有意申請者請將個人履歷（CV）寄至 dpliu@ntu.edu.tw，並於信件中註明欲申請的職位及感興趣的研究計畫。歡迎具備可靠度分析、結構力學、半導體製程、材料科學或機器學習背景，並對跨領域研究有興趣的夥伴加入 SSR Lab！劉定朋 助理教授國立臺灣大學工程科學及海洋工程學系Smart Structure and Reliability Lab（SSR Lab）--------------------------------------------------------------------------------------------------【SSR Lab Recruitment | Research Assistants, Ph.D. Students, and Postdoctoral Researchers】The Smart Structure and Reliability Lab (SSR Lab) is recruiting research assistants, Ph.D. students, and postdoctoral researchers for two funded positions. Each position will contribute to one of the following research projects:Reliability Analysis for Semiconductor Manufacturing ProcessesThis project focuses on reliability modeling, failure analysis, and uncertainty quantification for semiconductor manufacturing processes and materials.Applicants should have:A background in reliability theoryRelevant experience in semiconductor manufacturing processes or materialsKnowledge or experience in machine learning is preferredDevelopment of a Digital Twin Framework for Offshore Wind Turbine SystemsThis project focuses on structural analysis, reliability assessment, and the development of digital twin and monitoring frameworks for offshore wind turbine systems.Applicants should have:A background in reliability theoryRelevant experience in structural mechanicsKnowledge or experience in machine learning is preferredOpen positions:Research AssistantPh.D. StudentPostdoctoral ResearcherSalary: Compensation will follow the applicable NSTC and National Taiwan University standards and will be determined based on the applicant’s qualifications, research experience, and responsibilities.Master’s students and undergraduate students interested in conducting research projects in these areas are also welcome to join the lab.Interested applicants should send their CV to dpliu@ntu.edu.tw. Please indicate the position and research project of interest in the email.We welcome applicants with backgrounds in reliability analysis, structural mechanics, semiconductor manufacturing, materials science, or machine learning who are interested in interdisciplinary research.Ding-Peng Liu, Assistant ProfessorDepartment of Engineering Science and Ocean EngineeringNational Taiwan UniversitySmart Structure and Reliability Lab (SSR Lab)