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Assistant Professor - Large scale statistical learning
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Position Number: 3222543
Location: Lubbock, TX
Position Type: Engineering - Civil and Environmental

Assistant Professor - Large scale statistical learning
Lubbock
29391BR
Civil Environ Construct Engineering

Position Description
Contributes to the university's mission through teaching, research and service, some variation by academic unit.

Major/Essential Functions
The Civil, Environmental, and Construction Engineering (CECE) Department invites applications for multiple faculty positions. Individuals with the following expertise are invited to apply:
a) smart and extreme materials;
b) smart and deployable construction technologies;
c) bioprincipic sensing;
d) large-scale statistical learning;
e) coupled physical-digital models; and
f) mechanism design of infrastructure markets

Candidates with demonstrated expertise in the inter- and trans-disciplinary address of two or more civil engineering domains (involving geotechnical, water, transportation and construction) in their published work and project research are strongly encouraged to apply.

The hire(s) will result in several tenure-track assistant professor appointments. Appointments at higher rank will be considered for exceptional candidates. Candidates are expected to have demonstrated high-impact research in the areas described above. Evidence of high-quality teaching particularly in design applications is expected. The successful candidate(s) will have developed an externally-funded and internationally-recognized program of independent and collaborative research; will have a record of significant supervision of PhD students to graduation; will have taught undergraduate and graduate classes pertinent to the field of civil and construction engineering; will have held significant service roles in the profession; and will be expected to serve the Department, the Whitacre College of Engineering, and the University.

Review of applications will commence immediately and will continue until the position is filled. Full consideration will be given to applications received by August 15, 2022. It is anticipated that the appointment will begin Fall 2023.

Required Qualifications
Academic degree as defined by the academic unit and as appropriate for the position held. Demonstrated record of effectiveness as a teacher, a record of peer reviewed publication and/or peer-reviewed creative activity which has contributed to the discipline or field of study, to the candidates intellectual and artistic development, and to the quality of the academic enterprise; a record of professional service appropriate to the discipline; promise of growth in teaching and research or artistic and creative activity.

Preferred Qualifications
Applicants must hold a doctoral degree in Civil Engineering or a closely related field at the time of appointment.

Texas Tech University is a Hispanic-Serving Institution (HSI). Experience working with diverse student populations and first-generation students is highly desirable.

To apply, visit workattexastech.com

As an Equal Employment Opportunity/Affirmative Action employer, Texas Tech University is dedicated to the goal of building a culturally diverse faculty committed to teaching and working in a multicultural environment. We actively encourage applications from all those who can contribute, through their research, teaching, and/or service, to the diversity and excellence of the academic community at Texas Tech University. The university welcomes applications from minoritized applicants, women, protected veterans, persons with disabilities, and dual-career couples.