College of Engineering

Department of Mechanical Engineering-Engineering Mechanics

Mechanical engineer collects data autonomously.

Cluster Hire at the Interface of Artificial Intelligence, Big Data, and Computation for Engineering

As part of the cluster hire at the Interface of Artificial Intelligence, Big Data, And Computation for Engineering, the Department of Mechanical Engineering-Engineering Mechanics (ME-EM) invites applications in the areas of data science (DS), artificial intelligence (AI) and machine learning (ML) applied to mechanical engineering. Applicants for the position must have an earned PhD degree in mechanical engineering or a closely related discipline. The ME-EM department’s vision is: to educate students to inhabit an ecosystem in which AI/DS/ML are routinely applied to mechanical engineering problems; to develop engineering practices that include AI/ML as standard tools to solve complex problems in system design, dynamical controls, and testing; to conduct original research into new AI/ML algorithms and software tailored to application areas such as robotics, mobile systems and autonomous vehicles, industrial cyber security, energy conversion and storage, materials, and spacecraft design. We are particularly interested in applicants who have conducted research in the application of modern AI/DS/ML techniques to any of the above-mentioned areas, and who have an interest in developing curricula, research groups, and laboratory facilities that give Michigan Tech graduates a competitive employment edge in the emerging workplace defined by the 4th Industrial Revolution. The successful candidate will be expected to develop externally funded research projects in one of these areas while leading collaboration with other faculty, engage in both undergraduate and graduate teaching, and contribute to professional service. For more information about the Department of Mechanical Engineering-Engineering Mechanics, please contact the ME-EM Department Chair, William W. Predebon, at and visit our web site at

Photo credit: Nina Mahmoudian, Nonlinear and Autonomous Systems Lab