Postdoctoral, PhD, and MS(R) Openings in Automotive Health Monitoring, AI/ML Fault Diagnosis, and NVH at IIT Delhi Indian Institute of Technology Delhi in

Indian Institute of Technology Delhi (Centre for Automotive Research and Tribology) and the Automotive Health Monitoring Lab are inviting applications for Institute-funded Postdoctoral, PhD, and MS(R) positions. The research group is led by Shahab Fatima (Associate Professor), and the openings are centered on interdisciplinary work in automotive and industrial systems.

Research themes include machinery condition monitoring, AI/ML-based fault diagnosis and prognosis, automotive NVH and sound quality, signal processing, electric vehicle health monitoring, and the development of sustainable noise and vibration control materials using solid waste, battery waste, plastic waste, agricultural waste, tire waste, and other waste-derived resources. The lab highlights work in fault detection, diagnosis, prognosis, acoustical materials, and condition monitoring for automotive and allied components.

Eligibility details from the lab opening indicate that MS(R) candidates should have a B.E./B.Tech in Electrical, Mechanical, or Production Engineering. PhD candidates should have an M.E./M.Tech in Maintenance, Electrical Engineering, Material Science, Instrumentation, Machine Learning, Signal Processing, or related specializations. The post also suggests reviewing the relevant advertisement for minimum eligibility criteria and notes that GATE-related information is part of the application process.

The positions are described as institute-funded, but no stipend amount or detailed funding breakdown is given in the post. Interested candidates should first submit their CV/details through the provided portal/link, and may also email their CV to [email protected]. After that, candidates should proceed with the final institute application process.

Deadlines: Postdoctoral position: 2026-04-15 at 5:30 PM IST. PhD and MS(R) positions: 2026-04-11 at 4:00 PM IST.

Useful links include the lab website, the postdoctoral advertisement, and the PhD/MS(R) advertisement. Only shortlisted candidates will be contacted.