Postdoctoral Researcher Robotics, Soft Robotics & Intelligent Computer

Job Title: Postdoctoral Researcher Robotics, Soft Robotics & Intelligent Computing

We are seeking a highly motivated Postdoctoral Researcher with expertise in Robotics, Soft Robotics, and Intelligent Computing to join our interdisciplinary research team. This position is ideal for candidates with a strong foundation in robotics engineering, embedded systems, machine learning, or human-robot interaction (HRI), particularly as it applies to assistive technologies and inclusive design.

The selected candidate will contribute to cutting-edge research projects focused on developing soft robotic systems, intelligent actuators, or AI-enhanced robotic platforms for real-world applications — including rehabilitation, mobility assistance, human augmentation, or interaction with users with disabilities.

Key Responsibilities:

• Design, simulate, and prototype robotic systems, including soft actuators and flexible mechanisms.
  
• Develop control algorithms, sensor integration, and embedded computing systems for soft robots.
  
• Apply AI/ML techniques for perception, control, or adaptive learning in robotic systems.
  
• Collaborate with interdisciplinary teams across robotics, biomechanics, and human-centered computing.
  
• Author high-impact publications and present research at international conferences.
  
• Support grant writing, lab mentoring, and stakeholder engagement as needed.
  

Required Qualifications:

• Ph.D. in Robotics, Mechanical Engineering, Computer Science, Electrical Engineering, or a closely related field.
  
• Proven experience in soft robotics, intelligent control, or embedded systems.
  
• Strong programming and computational modeling skills (Python, ROS, MATLAB, C++, etc.).
  
• Track record of research publications in robotics, HRI, or AI-driven systems.
  

Preferred Experience:

• Design and fabrication of soft robotic devices (e.g., pneumatic/hydraulic actuators, 3D printing, silicone molding).
  
• Machine learning or neural networks for sensorimotor control.
  
• Experience with wearable robotics, prosthetics, or rehabilitation technologies.
  
• Familiarity with open-source robotic platforms (e.g., ROS, OpenCV, Gazebo).