College of Engineering

Department of Civil and Environmental Engineering

Civil and environmental engineering data are mapped onto Lake Superior.

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

The Department of Civil and Environmental Engineering at Michigan Technological University invites applications for tenure-track faculty positions to support the cluster hire at the interface of artificial intelligence, big data and computing. The positions are expected to be filled at the Assistant Professor level, but senior level individuals with exceptional records will also be considered. Applicants for the position must have an earned PhD degree in civil or environmental engineering or closely related discipline. We seek candidates who will define their discipline by creating and exploiting new digital tools and techniques in the development of their research programs and curriculum development. This includes but is not limited to machine learning, artificial intelligence, data science and advanced computing within the civil and environmental engineering domain. We seek to generate engineers who integrate the physical, chemical, biological and digital worlds to generate solutions benefiting society. Successful candidates will be expected to develop externally funded research programs in the area of interest while leading collaboration with other faculty, engage in both undergraduate and graduate teaching and contribute to professional service. Collaborators within the CEE Department possess expertise in asset management, transportation systems, hazard mitigation and resiliency, life cycle engineering, system modeling, data mining, remote sensing, materials, hydraulics, smart structures, environmental transport and fate of pollutants, lake biogeochemistry, atmosphere/water interactions, water resource management, physical-chemical-biological treatment processes, groundwater remediation, and climate change using approaches ranging from modeling to observations to experimentation.

Photo credit: Pengfei Xue, Numerical Modeling Lab