Job

• Ph.D. in Mechanical Engineering, Manufacturing Engineering, Materials Science and Engineering, Metallurgical Engineering, Welding Engineering, Aerospace Engineering, Biomedical Engineering, or related disciplines with a strong research background in advanced materials and manufacturing technologies.


• Candidates with a strong publication record in reputed SCI/SCIE journals will be preferred.

The selected candidate will be involved in R&D activities focused on:

• Advanced Manufacturing: Metal and multi-material additive manufacturing (SLM/DMLS, WAAM, LDED), sustainable and digital manufacturing, and AI-assisted process optimization.


• Advanced Materials Development: High- and medium-entropy alloys, metal matrix composites, functionally graded materials, and lightweight structural materials.


• Welding and Surface Engineering: Advanced welding processes, WAAM, surface modification, repair, and remanufacturing technologies.


• Materials Characterization and Performance Evaluation: Microstructural characterization, mechanical behavior, corrosion, oxidation, wear, tribology, high-temperature performance, and failure analysis.

• Conduct and lead high-quality research in advanced manufacturing and materials engineering.


• Design, fabricate, and characterize novel engineering materials.


• Develop experimental methodologies and testing protocols.


• Publish research findings in high-impact SCI/SCIE journals.


• Contribute to sponsored research proposals and project execution.


• Mentor undergraduate, postgraduate, and doctoral researchers.


• Collaborate with academic, industrial, and international partners.


• Support patent filing and technology transfer activities. 

• Hands-on experience in Additive Manufacturing (SLM, DMLS, WAAM, LDED).


• Experience in High-Entropy Alloy development.


• Expertise in advanced materials characterization techniques such as SEM, EDS, XRD, Optical Microscopy, and Mechanical Testing.


• Knowledge of corrosion, wear, and high-temperature testing.


• Experience with statistical optimization techniques (DOE, Taguchi, RSM).


• Familiarity with CAD/CAM, ANSYS, ABAQUS, or related simulation tools.


• Programming and data analytics skills are advantageous.