Postdoctoral Researcher Robotics, Soft Robotics & Intelligent Computer Amrita Vishwa Vidyapeetham

3.0 - 5.0 years

3 - 8 Lacs

Kollam

Work from Office

Job Title: Postdoctoral Researcher Robotics, Soft Robotics & Intelligent Computing Job Description: 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).

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