R&D Fellow in Advanced Control Systems
3 weeks ago
Role Description
We are looking for a self-motivated, problem-solver to work alongside our global team of scientists and engineers to develop and deliver advance ultra-high precision motion control systems for industrial applications. We have a flat hierarchy with a lot of autonomy and creative freedom given to each member. As a R&D Fellow, you will involve conducting experiments, analyzing data, and developing innovative solutions to optimize control performance and enhance system dynamics.
- Conduct high-quality research on advanced control models and algorithms for complex actuation systems (including piezo motors, rotary-translation stages, high performance drive controllers etc)
- Application and evaluation of system control models and algorithms via computer simulation and lab experiments
- Collaborate with cross-functional teams to design and implement control models and algorithms into PI products and develop use cases for precision positioning applications
- Documentation of technical reports, program codes, algorithms etc for patent application and publishing in leading journals and conferences in related field
The Successful Applicant
- Ph.D. degree or Master degree (with at least 4 years of research experience) in advanced control theory, control science and engineering, applied mathematics, mechatronics or a related field
- Strong research background in control systems theory and implementation
- Strong technical expertise in control system algorithms, and advanced math skills in statistics, optimization, and/or machine learning
- Proficiency in programming languages such as C/C++, MATLAB, or Python
- Knowledge of precision positioning systems and motion control technologies
- Experience with modeling and simulation tools
- Strong analytical and problem-solving skills
- Excellent written and verbal communication skills
- Ability to work effectively in a collaborative team environment
- Prior experience in the development of advanced control models and algorithms for industrial applications is a plus
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