Current opening: Our team is recruiting JRF (2 positions) and RA(1 post-doctoral position).
Project title: Design and Development of an IoT-Enabled Artificial Intelligence-based Smart Financial Framework for Automatic Medical Insurance Risk Assessment.
Please visit
For RA- https://www.iiti.ac.in/recruitments/research-associate-ra-position
For JRF- https://www.iiti.ac.in/recruitments/jrf-srf-positions
Last day of application 10/06/2025.
Ph.D. openings: We invite applications for funded PhD positions working in the Medical Robotics and Bioinstrumentation at Neurorobotics Laboratory Lab, BSBE, IIT Indore. Highly motivated undergraduate and master students with a background in Mechanical, Electronics, Biomedical Engineering, or MBBS are encouraged to apply. Students will work on research projects that involve signal processing, instrumentation, computational modeling, design, and control of robotic systems. The experiments are expected to involve interaction with human participants.
Undergraduate position openings: Research projects for undergraduate students are available for those who want to get research experience in signal processing, device design or control, and human-machine interaction.
In this direction of research, we aim to utilize the novel engineering signal processing tools and data analytical techniques for diverse applications in neurorehabilitation technology and associated areas of biomedical application. The major focus in this domain is to facilitate data-driven modeling of sensory-motor activities for precision measurements in home-based neural rehabilitation and for the Neural-machine interface.
Identify and analysis principles of movement control in health and diseases. We aim to experiment through novel wearable sensors (Inertial, optical, electrophysiological) and by creating computational models of neural and neuromuscular control. At the neurorobotics lab, we are especially interested in how low-level motor controls are carried out in precision tasks and how that is jeopardized in diseases like stroke.
Importantly, while we plan any movement at a higher level, however, the response the spinal motor neuron level provides insight to the adaptable nature of the control. We aim to use novel noninvasive sensors to detect the individual motor neuron responses.