AU Project Fellow Structural Reliability Recruitment 2026

AU Project Fellow Recruitment 2026: Overview

Andhra University (AU) is recruiting a Project Fellow in Structural Reliability Engineering at its College of Engineering (A), Visakhapatnam. The Department of Mechanical Engineering is hosting the project, Reliability prediction of mechanical subsystems of UW vehicles, with funding identified in the notice as NSTL. This is a project-based research engagement under Principal Investigator Dr. M. V. J. Raju.

Service Conditions and Caveats

• Project tenure: The notice gives an engagement period of 18 months. You should consider this duration when deciding whether the research assignment fits your plans.
• Research setting: The position belongs to the Mechanical Engineering department's named project at the Visakhapatnam campus. The title identifies structural reliability as the focus of this particular fellowship.
• Travel costs: The university will not pay travelling or daily allowance for attending the interview. You will need to arrange your visit with that condition in mind.

Application Submission Notes

The application route is email to the Principal Investigator. The contact block clearly gives dr.mvjraju@andhrauniversity.edu.in; the address in the application paragraph is partly clipped in the scan, so use the complete address printed in that contact block.

The project office is at the Department of Mechanical Engineering, A.U. College of Engineering, Andhra University, Visakhapatnam, Andhra Pradesh 530003. The notice directs applications to the investigator for this specific project, and you can use its full name to make the intended assignment clear in your correspondence.

The investigator's listed telephone number is 9440647970. If you need clarification about the clipped application line, this is the contact supplied in the same notice.

• Build the limit-state function library for each failure mode.
• Prepare reports explaining the limit-state functions.
• Run reliability analyses using the modelling engineer's surrogate machine-learning or deep-learning outputs.
• Check each failure mode against the relevant standards.
• Review published research on the system components.
• Write test-methodology reports for the components.