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.

Key Responsibilities:

- 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.

Desirable Skills:

- 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)

Job Category Research

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📌 Postdoctoral Fellow AI (Tamil Nadu)
🏢 Amrita Vishwa Vidyapeetham
📍 Tamil Nadu