Responsibilities:
1. Proactively participate in the research, development, application, and transition of algorithms for estimation, system identification, fault diagonostic and classification, and advanced control designs in the context of the AMEC internal customers, including MOCVD, EPI, LPCVD and Etch for diverse applications.
2. Work effectively in a multi-disciplinary team and closely collaborate with AMEC internal customers to clearly understand and quantify their challenges and specifications.
3. Promote model-based system engineering to better support AMEC products design and development with dynamics in multiple domains including thermal, fluid, mechanical, and electrical systems.
4.Implement control algorithms in real-time systems for in-field performances verification.
Requirements:
1. Ph.D. majored in automatic control, electric engineering, mechanical and aerospace engineering
2. Ability to perform control architecture evaluation and selection, dynamic modeling, estimation, system identification, and control system analysis, design, implementation and verification. A strong background in model-based control design.
2. 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 FDC.
3. Rich experiences in integration solution development with C, C++, Matlab and Simulink
4. Excellent oral and written communication skills are essential, and the candidate is expected to have published in control-related conferences or journals.
5. Knowledge of embedded systems and thermal engineering is a strong plus. The demonstrated ability to lead control-oriented projects is a strong plus as well.