Research Assistant Professor - Geosensing Systems Engineering - (FAC002034)
Posted: November 2, 2021
Application Deadline: Open Until Filled
The Department of Civil and Environmental Engineering (CEE) at the University of Houston invites applications for one full-time non-tenure track faculty position in the Geosensing Systems Engineering (GSE) program. Candidates with multi-disciplinary interests are invited to apply at the Research Assistant Professor rank.
The University of Houston is located in a park-like campus a few minutes from downtown Houston with over 37,000 undergraduate students and 8,000 graduate students. The CEE department currently has 22 tenured or tenure-track faculty members with over 340 undergraduates, and 125 graduate students. Houston is the fourth largest city in the U.S. with over 6.9 million in population in the greater Houston area. It is the “energy capital of the world” and houses the largest medical center in the world. The greater Houston area offers state-of-the-art recreational facilities, world-class arts and cultural activities, excellent schools, and affordable housing.
The University of Houston, with one of the most diverse student bodies in the U.S., seeks to recruit and retain a diverse community of scholars. Applications should include a curriculum vitae, research statement and complete information for four references. Position to be filled as soon as possible. The application and associated documentation should be submitted to the following site for consideration: https://uhs.taleo.net/careersection/ex2_uhf/jobdetail.ftl?job=FAC002034
The University of Houston is an Equal Opportunity/Affirmative Action employer and is strongly and actively committed to diversity within its community. Women, minorities, veterans, and persons with disabilities are encouraged to apply. Additionally, the University prohibits discrimination in employment on the basis of sexual orientation, gender identity or gender expression.
Applicants must have an earned Ph.D. in Geology, Earth Sciences, Geomatics Engineering, or equivalent field of study obtained prior to hire date, and must have at least two years of post-graduate experience, either as a post doctoral scholar, research associate or in industry.
Must have at least two years of experience working with high resolution 3D topography for change detection applications, focused on earthquake and geomorphic processes.
Experience working with change detection methods such as particle imaging velocimetry (PIV), iterative closest point (ICP) and the ability to develop additional algorithms in a variety of languages such as python and Matlab required.
Should be proficient in geodetic datums and data processing techniques necessary to transform raw lidar data from level 0 to level 2 or higher.
Excellent communication and presentation skills and the ability to self-motivate or work as an effective team member; experience managing a team is desired; good disposition and adaptability towards extended domestic travel.
Per grant sponsor stipulations, only US citizens may be considered for this position.