R&D Fellow in Advanced Control Systems

3 weeks ago


Singapore Pi (physik Instrumente) Singapore Llp Full time

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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