Motion Control Scientist: Precision Robotics & Mechatronics

A*STAR RESEARCH ENTITIES

Singapore

In loco

SGD 90.000 - 135.000

Tempo pieno

14 giorni+

Una candidatura completa in un minuto

Curriculum e lettera di presentazione personalizzati, pronti da inviare.

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Descrizione del lavoro

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.

Competenze

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

Mansioni

  • 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.

Conoscenze

Control theory
Programming (Python/C/C++)
Analytical thinking
Teamwork & communication

Formazione

PhD in Electrical/Control/Mechatronics

Strumenti

MATLAB/Simulink
LabVIEW
dSPACE
Speedgoat
FPGA development

Descrizione del lavoro

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.

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