Scientist (Smart Robotics and Automation, Adaptive Robotics and Mechatronics group), SIMTech

A*STAR RESEARCH ENTITIES; Singapore; On-site; SGD 90,000 - 135,000; Full time

Job summary

A*STAR Research Entities in Singapore seeks a motivated research scientist to develop high-precision motion systems for automated semiconductor equipment. You will model, simulate and control motion systems to achieve coordinated, accurate operation.

Responsibilities include designing motion control algorithms and implementing learning-based control methods with hardware-in-the-loop, and collaborating with hardware teams to integrate subsystems.

Qualifications

• PhD in Electrical, Control or Mechatronics Engineering.
• Strong background in control theory and digital control techniques.

Responsibilities

• Design and develop motion control algorithms for complex precision motion systems.
• Implement learning-based control methods (reinforcement learning, Bayesian optimization).
• Use MATLAB/Simulink, LabVIEW, dSPACE, Speedgoat to simulate and control systems.
• Perform system-level simulations to optimize performance and stability.
• Develop test procedures for motion control systems to meet performance requirements.
• Work with hardware teams to integrate control with mechanical and electrical subsystems.
• Optimize motion trajectories for precision, speed and energy efficiency.

Skills

Control theory

Programming (Python/C/C++)

Analytical thinking

Teamwork & communication

Education

PhD in Electrical/Control/Mechatronics

Tools

MATLAB/Simulink

LabVIEW

dSPACE

Speedgoat

FPGA development

Job description

ABOUT THE ROLE

We are looking for a motivated individual to fill the position of a research scientist in the group. You will be part of the team charged with the development of high precision motion systems required in automated machines tools for semiconductor industry. In this role, you are expected to perform the modelling, simulation and control of the motion control system to achieve coordinated motion for the complex equipment. The ability to model and analyse the system dynamics under the various operational scenario would also be a necessary part of the development process. In addition, hands-on experience with the implementation of digital control methods (with hardware in the loop) is required in order to achieve the real-time control of the motion system. You will collaborate with cross-functional teams to implement solutions that enhance motion system performance, reliability and efficiency.

JOB DESCRIPTION

• Design and develop motion control algorithms for complex precision motion systems.


• Implement advanced control strategies with state-of-the-art learning-based control methods including but not limited to reinforcement learning, Bayesian optimization etc.


• Use tools like MATLAB/Simulink, LabVIEW, dSPACE, Speedgoat or equivalent to simulate and control the motion systems


• Perform system-level simulations to optimize performance and stability.


• Develop test procedures for motion control systems to ensure compliance with performance requirements.


• Select and implement motion control components, including sensors, controllers, and drive electronics.


• Work closely with the hardware team to integrate control systems with mechanical and electrical sub-systems.


• Optimize motion trajectories for precision tracking, high speed and energy efficient actuation.

JOB REQUIREMENT

• Ph.D degree in Electrical, Control or Mechatronics Engineering


• 2-3 years of work experience or similar is preferred

We value the following skills and experience:

• Work experience in the semiconductor industry will be a plus


• Experience with the semiconductor equipment development e.g. automated wafer handling machine


• Strong knowledge of control theory and digital control techniques


• Proficiency in programming languages such as C, C++, Python, or MATLAB.


• Experience with following


• motor control techniques e.g. FOC, MPC


• motion control techniques such as feedforward, cascade control and observer design


• embedded system design or FPGA development


• Knowledge of machine learning applications in motion control, such as reinforcement learning and others


• Familiarity with industrial communication protocols (e.g., CAN, EtherCAT, Modbus)


• Familiarity with standards and certifications for industrial or safety-critical systems


• Excellent problem-solving and analytical skills


• Strong communication and teamwork abilities