Fall 2022: Tenure-Track Faculty: Foundations and Applications of Machine Learning

Fall 2022: Tenure-Track Faculty: Foundations and Applications of Machine Learning

The University of Texas at Austin: Cockrell School of Engineering: Aerospace Engineering & Engineering Mechanics

Location: Austin, TX
Open Date: Oct 02, 2021

Description:

THE DEPARTMENT OF AEROSPACE ENGINEERING AND ENGINEERING MECHANICS AT THE UNIVERSITY OF TEXAS AT AUSTIN has a tenure-track position beginning Fall 2022 in the area of Foundations and Applications of Machine Learning. Topics of expertise include, but are not limited to, scientific machine learning, controls, verification, flight performance optimization and predictive analytics, with applications to air mobility systems, aerospace materials, hypersonics, remote sensing, space domain awareness and robotics, and other aerospace systems. Candidates with expertise in machine learning related to one or more of these areas are encouraged to apply.While the emphasis is on the quality and originality of the candidate's work and timeliness of their research vision, a particular focus will be placed upon the potential for supporting the design, analysis, development, manufacture, certification and/or operation of next-generation aerospace systems. We seek synergies between successful applicants in multiple departments, thus a demonstrated ability to work across disciplines is essential. The position is expected to be filled at the rank of assistant professor. The Department and Cockrell School are committed to building a diverse and inclusive environment, and we are particularly interested in applicants who will contribute to diversity and equal opportunity in higher education through their teaching, research, and service.


The University of Texas at Austin is an affirmative action, equal opportunity employer. For more information about the Department of Aerospace Engineering and Engineering Mechanics, please visit http://www.ae.utexas.edu. These positions have been designated as security-sensitive, and a criminal background check will be conducted on the applicants selected.

Qualifications:

Candidates must have a Ph.D. degree in engineering or a related field. Successful candidates are expected to supervise graduate students, offer courses to our diverse bodies of undergraduate and graduate student populations, develop a high-impact sponsored research program, collaborate with others from a wide range of backgrounds, and be involved in service to the university and the engineering profession. .

Application Instructions:

Applications received by December 1, 2021 are assured full consideration, but the search will continue until the position is filled. Only complete applications will be considered. Interested applicants should submit the following:1) a cover letter, 2) current vitae, 3) statements of research and teaching interests, 4) statement describing past contributions and future plans for promoting diversity and inclusion through their research, teaching, and/or service, 5) a list of three references.

Apply Here: https://apply.interfolio.com/95941

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