Job

• This postdoctoral research focuses on the design, optimization, and development of AI-integrated electric vehicle (EV) motor drive systems to improve the efficiency, reliability, and intelligence of next-generation electric mobility solutions.


• The research will investigate advanced motor topologies, power electronic converters, intelligent motor control strategies, and AI-driven optimization techniques to enhance torque performance, efficiency, thermal management, and fault tolerance.


• Artificial intelligence and machine learning algorithms will be employed for adaptive motor control, predictive maintenance, battery-aware energy management, and real-time performance optimization.


• The project will also explore the integration of EV motor drives with renewable energy-powered charging systems and smart grid infrastructure to support sustainable transportation.

QUALIFICATION REQUIRED: PhD in Engineering Discipline

SKILL REQUIRED:

• Proficiency in simulation, modelling, and optimization tools such as MATLAB/Simulink, ANSYS Maxwell, Motor-CAD, Python, AI/ML frameworks, and embedded hardware platforms.


• Research experience in one or more of the following areas:
  
  
  
  • Electric Vehicle Motor Drives
  
  
  • Electric Machines Design and Analysis
  
  
  • AI/Machine Learning for Engineering Applications
  
  
  • Power Electronics and Motor Control
  
  
  • Battery Management Systems
  
  
  • Embedded Systems
  
  
  • Renewable Energy Systems
  
  
  • Smart Grid Integration
  
  
  • Experience with electric vehicle motor design, power electronics, and real-time control implementation will be an added advantage.