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, the Department of Materials Science and Engineering at Michigan Technological University invites applications for a tenure-track faculty position at the assistant professor level, however exceptional applicants at senior levels also will be considered. Applicants for this position must have an earned PhD degree in materials science and engineering or closely related discipline. Research thrust areas of interest include (but not limited to): (i) computer vision for microstructure analysis and feature extraction (ii) machine learning for automated mining of big data generated from digital instrumentation, including '5 V' problems associated with atomic to nanometer scale collection, manipulation and interpretation from atomic resolution STEM (iii) computer simulation for interpretation of imaging, diffraction, property measurements, etc. (iv) expert system development for accelerated design of new material compositions and discovery of processing-microstructure-property relationships. We seek candidates who will help define their discipline by creating and exploiting new digital tools and techniques and collaborate across experimental and computational materials research.
Photo credit: Yongmei Jin