Key Responsibilities:
1. Proactively participates in the research, development, application, and transition of algorithms for estimation, system identification, optimization, fault diagnostics & classification, and advanced control designs in the context of the AMEC internal customers, including Etch (CCP/ICP), MOCVD, EPI, LPCVD, etc., for diverse applications.
2. Works in a multi-disciplinary team and closely collaborates with AMEC internal customers to clearly understand and quantify their challenges and specifications.
3. Promotes model-based system engineering to better support AMEC product design and development with dynamics in multiple domains including thermal, fluid, mechanical, and electrical systems.
4. Implements control algorithms in real-time systems and performs in-field verification.
Key Requirements:
131. Major in automatic control, electric engineering, mechanical, aerospace engineering, or related areas
2. Ability to perform: 1) control architecture evaluation and selection, dynamic modeling, estimation, system identification; and 2) control system analysis, design, implementation, and verification.
3. Solid knowledge of classical and modern control theory with learned courses on modern control theory and optimization theory, for example, LQR/LQG, MPC, H-infinity control, adaptive control, and/or fault detection.
4. Rich experience in the development of integration solutions with C, C++, MatLab, and Simulink
5. Excellent oral and written communication skills; and publications in control-related conferences or journals.
6. Experience in model-based control design; knowledge of embedded systems & thermal engineering; or demonstrated ability to lead control-oriented projects.
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