Job

• Ph.D. in Electrical Engineering, Computer Science, Artificial Intelligence, or a related field


• Demonstrated expertise in machine learning, deep learning, or data science


• Solid foundation in power systems, energy system modeling, or control systems


• Programming experience in MATLAB, Python, and relevant ML libraries

• Amrita School of Artificial Intelligence invites applications for a Postdoctoral Research Fellow position in the interdisciplinary area of Artificial Intelligence, Machine Learning, and Power & Energy Systems, under the supervision of Dr. Rahul Satheesh.


• This position is part of the school’s thrust area group “AI Innovations in Power, Energy, and Electric Vehicles”, with a strong emphasis on leveraging data-driven technologies to enhance the resilience, efficiency, and intelligence of future energy infrastructures.


• We are particularly looking for candidates who are passionate about integrating machine learning techniques with challenges in power systems, renewable energy, smart grids, and electric mobility.

Key Responsibilities

• Conduct independent and collaborative research on: 
  
  
  
  • Intelligent energy system control and forecasting
  
  
  • Data-driven energy system optimization and predictive maintenance
  
  
  • Grid restoration and resilience under uncertainty
  
  
  • Detection and mitigation of anomalies or cyber-physical threats
  
  
  
  


• Develop and validate simulations and prototypes using AI/ML frameworks


• Publish in leading journals and conferences in AI, power systems, and smart energy


• Contribute to grant proposals and assist in mentoring MTech/PhD students


• Engage with industry and academic collaborators for joint research initiatives