PhD in AI-driven Condition-Based Maintenance for Resilient Energy Supply Norwegian University of Science and Technology in Norway

The Department of Mechanical and Industrial Engineering at the Norwegian University of Science and Technology (NTNU) is inviting applications for a PhD position in AI-driven condition-based opportunistic maintenance. The successful candidate will join the RAMS NTNU - Reliability, Availability, Maintainability and Safety Research Group, focusing on research that ensures a resilient and sustainable energy supply through advanced maintenance strategies.

This project leverages artificial intelligence to optimize maintenance schedules and improve the reliability and sustainability of energy systems. The research will involve interdisciplinary collaboration across mechanical engineering, industrial engineering, and computer science, with a strong emphasis on AI, machine learning, and condition-based monitoring.

Applicants should hold a master's degree in mechanical engineering, industrial engineering, computer science, or a related field. Preferred qualifications include experience with AI, machine learning, or condition-based maintenance, a strong academic record, and proficiency in English. The position is fully funded, with salary and benefits according to NTNU regulations.

To apply, candidates should visit the official NTNU job portal and submit their application, including a CV, cover letter, and academic transcripts. For more information, refer to the job posting and department links provided.