Key Responsibilities: 1. Guide CMP applications research and material development efforts as an individual contributor by understanding the needs and providing the necessary expertise/ inputs linking polishing performance with consumable properties/ process conditions: • Familiarize with current internal expertise in the area. • Develop deep technical expertise in at least a couple of focus areas of the CMP Fundamentals program. • Address short- and long-term needs with appropriate use of a combination of fundamental science/ data-based approaches without compromising on the technical rigor. • Support customer engagements. 2. Continuously raise the level of understanding in CMP performance vs. consumable properties interactions across the application research team by: Identifying gaps in technical competencies based on needs and defining/executing necessary technical programs. • Developing and rolling out necessary modeling/ digital initiatives and novel characterization capabilities. • Aiding in the roll out of a suite of user-friendly predictive models as part of CMPT's strategy towards tech support. • Training, and mentoring junior scientists/ engineers and technicians. 3. Develop and manage technical collaborations with external/ internal remote teams of experts as needed 4. Communicate findings to management and educate customers on Dupont’s technical knowhow via presentations/ reports
待遇面議
(經常性薪資達 4 萬元或以上)
Job Required: • Familiarity with various aspects of the CMP process, polyurethane structure vs. property interactions. • Working knowledge of numerical methods like FEM and commercial packages like COMSOL, Abaqus, ANSYS. • Familiarity with leveraging data science/ machine learning based approaches to achieve broader technical objectives. • Advanced degree in either of chemical/ mechanical engineering and material science fields. • Strong interest and industrial experience in providing solutions to complex technical problems applying rigorous scientific approaches. • Familiarity and hands on experience with experimental method development, mathematical modeling of physical processes, computational approaches and programming in Python, Matlab, etc. • Expert knowledge in a broad range of technical areas spanning: transport phenomena, polymer mechanical properties and characterizations, contact/ fracture mechanics, and tribology • Be comfortable being hands on and take a deep dive into novel technical areas when required, to achieve broader objectives
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