Cluster Hire at the Interface of Artificial Intelligence, Big Data, and Computation for Engineering
As part of the cluster hire in applied Artificial Intelligence & Advanced Computation (AI&AC) for engineering, the Department of Geological and Mining Engineering and Sciences (GMES) encourages individuals who work at the interface of artificial intelligence, large spatiotemporal data analysis, or advanced computing with any sub-discipline of geoscience or geoengineering to apply. We are particularly interested in recruiting assistant professors who conduct research by integrating multi-scale, multi-platform, and multi-sensor big datasets to address engineering and scientific challenges for sustainable development of the Earth system and its resources. Desired areas of expertise for the position include, but are not limited to, AI&AC technologies to detect and predict natural hazards, big data analytics, advanced computational modeling, and emerging digital technologies applied to geoscience or geoengineering. Applicants for the position must have an earned PhD degree in geoengineering or geoscience or closely related disciplines. The successful candidate will be expected to develop an externally funded research program in their area of interest while leading collaboration with other faculty, engage in both undergraduate and graduate teaching and contribute to professional service.
Photo credit: R. R. Askari; Rudiger Escobar Wolf