Job Description

This position involves working on a project related to the control of origami-based soft actuator modules for simple kinematic tasks. The objective of this position includes contributing to the design, development, and implementation of such a controller on actual hardware platforms. The role involves the opportunity to work with the PI’s team within the National University of Singapore. The successful candidate will be self-motivated with an outstanding track record in robotics, control, or related disciplines, with a special focus for actuator modelling and control.

The main research tasks for the project include but will not be limited to:

• Developing robust conventional and learning-based controllers for control of both individual and assemblies of soft actuator modules.
• Implementing the controllers on a hardware prototype and validate robustness to different module sequences and task-specific transitions.

Qualifications

• A background of control systems and experience with robot actuator control based on classical and learning-based methods.
• Basic simulation experience for actuator systems.
• Literature review/summarizing skills.
• Experience with implementation of control algorithms on hardware (in particular, soft robotic actuation).
• Experience publishing papers, and supervising undergraduate/master’s students.
• Good writing/spoken communication skills for the purpose of writing research reports and presentations.