Area of Specialisations:

Candidates with postgraduate (M.Tech/M.E./M.S.) and doctoral (Ph.D.) qualifications in the following disciplines are encouraged to apply:
Mechatronics Engineering
Robotics and Automation
Electronics and Communication Engineering (ECE)
Electrical Engineering / Electrical and Electronics Engineering (EEE)
Control Systems Engineering
Embedded Systems and IoT
Automotive / Vehicle Engineering
Mechanical Engineering with specialization in relevant areas
Computer Science / AI with application to Mechatronics or Mobility.

Technical Expertise
Mechatronics system design, integration, and testing
Robotics: kinematics, dynamics, path planning, and motion control
Sensors, actuators, and transducer technologies
Embedded systems: microcontrollers, FPGA, RTOS, ARM platforms
Control systems: PID, model predictive control, adaptive and robust control
Industrial automation: PLCs, SCADA,



industrial protocols (OPC-UA, PROFIBUS)
Electric and hybrid vehicle systems, powertrains, and battery management
Autonomous and connected vehicle technologies (ADAS, V2X, LiDAR, SLAM)
AI/ML applications in mechatronics, robotics, and mobility systems
Automotive electronics, CAN/LIN/FlexRay communication protocols

Multidisciplinary Expertise (Preferred)
Cross-disciplinary expertise spanning Mechanical + ECE + Electrical domains
Machine vision, image processing, and computer vision for automation
IoT and wireless sensor networks for smart systems
Vehicle dynamics, NVH analysis, and vehicle safety engineering
Digital twin, model-based system design (MATLAB/Simulink, dSPACE)
Simulation and CAE tools: ANSYS, Adams, CarSim, ROS, Gazebo

📌 Multiple Specialization Ap/aop/professor Vellore (India)
🏢 VIT
📍 India