Postdoctoral Fellow AI-Driven Materials Design For High-Temperature Tribological Applications @Chennai

Job Title Postdoctoral Fellow – AI-Driven Materials Design for High-Temperature Tribological Applications Required Number 1 Qualification Ph.D. in Mechanical Engineering, Materials Science, Polymer Engineering, Tribology, Computational Materials Science, Artificial Intelligence, Computer Science, or related disciplines Job Description

• Conduct cutting-edge research on the AI-assisted design and development of self-lubricating polymers and polymer composites for high-temperature tribological applications.
• Develop machine learning and physics-informed models for predicting friction, wear, thermal stability, and mechanical performance of advanced materials.
• Design, fabricate, and characterize novel polymeric materials using experimental and computational approaches.
• Integrate AI/ML techniques with tribological testing, materials informatics, and optimization frameworks to accelerate material discovery. AI-assisted materials design has become a powerful approach for discovering polymers with targeted thermal and functional properties.
• Publish high-impact research articles and contribute to sponsored research projects.
• Collaborate with researchers from Mechanical Engineering, Materials Science, and Computer Science disciplines.
  
  

• Develop AI/ML models for material property prediction and inverse material design.
• Create databases of polymer formulations and tribological performance metrics.
• Conduct tribological testing under high-temperature conditions.
• Perform material characterization using microscopy, thermal analysis, spectroscopy, and mechanical testing. - Assist in project proposal writing and industry collaborations.
• Mentor postgraduate and doctoral students working in the project.
  
  

• Candidates should possess expertise in one or more of the following: -
• Materials/Tribology Domain
• Polymer Tribology
• Self-Lubricating Materials
• Polymer Composites and Nanocomposites
• High-Temperature Materials
• Wear and Friction Analysis
• Materials Characterization Techniques (SEM, EDS, FTIR, DSC, TGA, DMA)