Assistant , Associate or Professor-Construction Science

University of Texas at San Antonio

San Antonio, TX

ID: 7052465
Posted: August 10, 2018

Job Description

Other Skills Preferred
The candidates should be interested in fostering collaborative research and education to create interdisciplinary areas of knowledge that will advance the field of Artificial Intelligence (AI) in the construction science and management area. The candidate should be able to perform research in decision making/support, unsupervised deep learning, current/future data for Internet of Things (IoT) and/or Smart Development of Urban Environments. The candidate should be interested in applied research and commercialization of deep learning in the areas of construction. The candidate could focus on developing, profiling and validating Keras based autoencoders for unsupervised learning of complex cognitive decision‐making processes for built environments using engineering datasets that might require supercomputers for training but could be deployed in mobile devices.
Preferred Qualifications:
• Computer programming (i.e Python)
• Recent research proven capability to obtain external research funds.
• Industry experience.

Description of Job Duties
Responsibilities for the position include developing and teaching courses at the undergraduate and/or graduate levels, conducting scholarly research, pursuing external research funding and making service contributions within the University, the construction industry and the profession. Candidates should have a clear research agenda/strategy and be prepared to pursue externally funded research grants, to develop professional opportunities for students, and to participate in the continuous development of the Department, College and University. It is critical that candidates be interested in, and be adept at, collaborating with faculty from other disciplines within the College and University.

This position is part of a university-wide cluster hiring initiative, this year in Artificial Intelligence, a part of President Taylor Eighmy’s ambitious vision for UTSA to become an urban-serving, multi-cultural discovery enterprise. UTSA’s research portfolio has increasingly becoming more transdisciplinary, cutting across areas such as cybersecurity, brain health, engineering, biomedicine, public health, educational transformation, sustainability, business and policy. These areas of research have been further fueled by focused faculty cluster hires in areas including cloud computing, cybersecurity, brain health and analytics and data science. This targeted faculty cluster hire in AI will build on and leverage our established research portfolio, propelling our ability to tackle and solve previously unsolvable problems. Hires are expected to build their own unique programs of research, as well as to collaborate with other hires in this cluster and with colleagues in their home department, college, and other colleges.

Furthermore, San Antonio is a recognized cyber-analytics hub. Given the complexity of problems in transdisciplinary fields, and the opportunity for greater government and industry partnerships, UTSA has established The National Security Collaboration Center (NSCC), to support national security and global defense research in cybersecurity and cloud computing, cyber-attack/deterrence, critical infrastructure protection, analytics, high performance computing, AI, machine learning and visualization. These positions will facilitate outstanding collaborative research to further connect partners in the NSCC ecosystem. NSCC Background:https://www.utsa.edu/strategicplan/tactical-initiatives/nscc/index.html

Posting Open Date 08/10/2018
Posting Close Date at midnight on
Open Until Filled Yes
Special Notes To Applicants
Note 1: Review of completed applications will begin on 10/24/2018 and continue until the position is filled.

Note 2: Tenure is contingent upon Board of Regents approval for associate and full professor rank.

Note 3: UTSA is a tobacco-free campus.

Note 4: UTSA is an Equal Employment Opportunity/Affirmative Action Employer. Minorities, women, veterans, and individuals with disabilities are encouraged to apply.

Note 5: Applicants must provide proof that they will be eligible and qualified to work in the United States by time of hire.

Note 6: This is a security sensitive position. Employment is contingent upon a successful background check.

Note 7: Candidates invited to campus interview might be requested to submit additional materials prior to the campus visit.

Note 8: At the discretion of the hiring department, this position posting may be closed once a sufficient number of qualified applications has been received.



 

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