Assistant/Associate Professor, Materials Science and Engineering

University of Arizona

Tucson, AZ

ID: 7062583
Posted: December 4, 2019
Application Deadline: Open Until Filled

Job Description

osition Summary
The Materials Science and Engineering (MSE) Department at the University of Arizona seeks a tenure-eligible faculty member in Applied Mathematics for Materials, including the area of Materials Informatics and related areas of Applied Mathematics. The hire would contribute to and broaden a new program in data-driven modeling, optimization and control of materials for targeted engineering and technological applications including but not limited to advanced manufacturing, information processing, and defense. This position is a partnership hiring with the Applied Mathematics Graduate Interdisciplinary program (GIDP) of the Graduate College at the University of Arizona. The new hire will facilitate increased engagement with undergraduate and graduate students through new laboratory and classroom course offerings that integrate machine learning, data science areas of applied mathematics and materials science and engineering.
The selected candidate may be required to provide education credentials during the offer discussion.

Outstanding UA benefits include health, dental, and vision insurance plans; life insurance and disability programs; UA/ASU/NAU tuition reduction for the employee and qualified family members; state and optional retirement plans; access to UA recreation and cultural activities; and more!

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Duties & Responsibilities
The new faculty member will establish strong, high-visibility program of high-quality externally funded research and he/she will teach undergraduate and graduate-level courses in MSE while contributing to cross-disciplinary graduate curriculum development in the Applied Mathematics GIDP.

The new hire will serve as a key driver and lead investigator for new federally and state-funded programs and industrial partnerships and collaborations that leverage faculty expertise in MSE faculty and across the College of Engineering and the University.

The successful candidate will also play a guiding role in the evolution of integrated computational materials engineering and materials informatics in conjunction with the University of Arizona’s Data Science Institute.

The faculty member will contribute to student mentoring, including those historically underrepresented in higher education, and to contribute to an environment that nurtures collaboration among associated disciplines across the Engineering and Graduate Colleges and the University.

The successful candidate will also participate in outreach and contribute to departmental, colleges, and university service. In these, and other ways, the faculty member will help to develop innovative approaches to enhancing student engagement, increasing diversity, and expanding collaboration with community and business partners.

Knowledge, Skills, & Abilities
Minimum Qualifications
PhD in Materials Science and Engineering, Mathematics, Physics, Chemistry, Mechanical Engineering, or a closely related field.

Preferred Qualifications
A proven track record of publications in peer-reviewed high impact journals.

Rank To be determined.



 

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