Postdoctoral Research

Job Description

Job Description (JD) – Postdoctoral Research Fellow (AI & Machine Learning for Power and Energy Systems)
Organization

Amrita School of Artificial Intelligence

Campus: Coimbatore, Tamil Nadu

Position

Postdoctoral Research Fellow

Research Area

Artificial Intelligence & Machine Learning Applications in Power and Energy Systems

Employment Type
Full-Time Research Position
Job Summary

Amrita School of Artificial Intelligence is inviting applications for a Postdoctoral Research Fellow to conduct interdisciplinary research at the intersection of:

Artificial Intelligence
Machine Learning
Power Systems
Smart Grids
Renewable Energy
Sustainable Technologies

The successful candidate will work on developing AI-driven solutions to improve the efficiency, resilience, and sustainability of modern energy systems.

Key Responsibilities
AI & Machine Learning Research
Develop AI and Machine Learning models for power system applications.
Design data-driven solutions for complex energy challenges.
Build predictive and optimization models.
Conduct advanced research in intelligent energy systems.
Power & Energy Systems

Work on research related to:

Smart Grids
Renewable Energy Integration
Electric Vehicles (EVs)
Energy Resilience
Power System Analytics
Intelligent Energy Infrastructure
Model Development
Develop deep learning models.
Build machine learning algorithms.
Perform data-driven modeling.
Validate and optimize AI models.
Research Activities
Conduct high-quality academic research.
Publish findings in reputed journals.
Present research at conferences.
Collaborate with faculty members and research teams.
Prepare technical reports and scientific documentation.
Collaboration
Work with multidisciplinary research teams.
Contribute to collaborative research projects.
Support innovation in AI-enabled power systems.
Required Qualifications

Candidates must possess a:

Ph.D. in Electrical Engineering
Ph.D. in Artificial Intelligence
Ph.D. in Computer Science
Ph.D. in a closely related discipline
Required Technical Skills
Artificial Intelligence
Artificial Intelligence
Machine Learning
Deep Learning
Data-driven Modeling
Power Systems

Strong understanding of:

Power Systems
Smart Grids
Energy Infrastructure
Renewable Energy Systems
Programming
Python
MATLAB
Machine Learning Frameworks

Experience with:

TensorFlow
PyTorch
Scikit-learn
Research Skills
Experimental design
Data analysis
Model evaluation
Algorithm development
Preferred Research Areas

Experience in one or more of the following:

Smart Grid Analytics
Renewable Energy Forecasting
Electric Vehicle Integration
Power System Optimization
AI for Sustainable Energy
Energy Resilience
Intelligent Energy Management Systems
Soft Skills
Excellent communication skills
Scientific writing
Research documentation
Collaboration and teamwork
Critical thinking
Analytical problem-solving
Independent research capability
Ideal Candidate Profile

The ideal candidate should have expertise in:

Machine Learning
Deep Learning
Artificial Intelligence
Power Systems
Smart Grids
Renewable Energy
Python
MATLAB
TensorFlow
PyTorch
Scikit-learn

Candidates with a strong publication record and experience applying AI to power and energy system challenges will be highly preferred.

Research Opportunities

The role offers opportunities to contribute to cutting-edge research in:

AI-enabled Smart Grids
Sustainable Energy Systems
Renewable Energy Integration
Intelligent Grid Operations
Electric Vehicle Technologies
Data-driven Energy Optimization
Application Deadline

The announcement mentions an application deadline of 31 July 2025.

Note: Since today’s date is later than that deadline, it’s advisable to contact the research group to confirm whether the position is still open or if a new recruitment cycle is underway.

Contact for Applications

Email: s_rahul1@cb.amrita.edu