Assistant Professor Faculty Search
Urban and Regional Planning Graduate Program
Candidates must possess a Ph.D. in Urban and Regional Planning or a related field from an accredited institution by August 15, 2019. (ABD candidates with expected completion date no later than May 31, 2020 will be considered.)
Candidate must demonstrate the potential to establish a clear research agenda that generates significant publications in appropriate refereed journals and other published volumes, acquire extramural funding, and excel in undergraduate and/or graduate teaching and mentoring.
Professional experience in urban planning or closely related field, membership in AICP, direct experience with physical planning and/or urban design or record of collaboration with these disciplines.
Description of Job Duties
Within this dynamic urban and academic setting, the Assistant Professors will be expected to further establish the Urban and Regional Planning program as a leading source for urban research and academic thought, while contributing to the already vibrant planning discourse at the metropolitan and regional scale. Responsibilities will include research, teaching, and service to the URP Graduate Program, College, and University. Research in the following areas will be particularly relevant to this position:
1. urban analytics, data visualization, and GIS
2. housing and sustainable community development
3. environmental, transportation, and infrastructure planning
4. urban policy and management
Apply here: https://jobs.utsa.edu/postings/10466
Assistant, Associate, or Professor Faculty Search
The Department of Construction Science at the University of Texas at San Antonio (UTSA), invites qualified individuals to apply for a tenure-track and/or tenured faculty position at the rank of Assistant, Associate, or Full Professor beginning in August 2019.
The candidate 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.
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.
Apply here: https://jobs.utsa.edu/postings/10151