The Industrial Artificial Intelligence Prognostics and Health Management Lab (iPHM) at Dongguk University, Seoul, South Korea, is seeking applications for a Non-Tenure Track Research Professor position. The lab is part of the Department of Mechanical, Robotics, and Energy Engineering and is led by Professor Heung Soo Kim. The iPHM Lab conducts advanced research at the intersection of mechanics, artificial intelligence, and smart engineering systems, focusing on areas such as computational mechanics, finite element analysis (FEA/FEM), artificial intelligence for mechanical engineering, prognostics and health management (PHM), structural health monitoring (SHM), fault diagnosis, digital twins, data-driven modeling, and real-time monitoring of smart structures and systems.

The position is open to candidates with a Ph.D. in Mechanical Engineering or a closely related field. Applicants should have a strong background in solid or computational mechanics, FEA/FEM, and/or AI, machine learning, or deep learning for mechanical engineering applications. A strong publication record in top-ranked international journals and the ability to work collaboratively in a research-oriented team environment are essential. The appointment is for two years, starting September 1, 2026, with the possibility of extension based on performance. The annual salary ranges from 40 to 50 million KRW, depending on performance.

The iPHM Lab is recognized for its contributions to smart systems and structural monitoring, with ongoing research projects and collaborations in advanced materials, robotics, and data-driven engineering. The lab's research outputs include publications in high-impact journals and participation in international conferences. For more information about the lab and its research activities, visit https://iphm.dgu.ac.kr/.

To apply, candidates should submit their application via the online form provided at this link. For further details, applicants may contact Professor Heung Soo Kim at [email protected]. This opportunity is ideal for researchers interested in the integration of artificial intelligence with mechanical engineering for the development of smart, data-driven systems and advanced structural health monitoring solutions.