The Department of Electrical and Computer Engineering at The University of Texas, San Antonio (UTSA) invites applications for two tenure-track/tenured level position starting Fall 2018 at the Assistant or Associate ranks.
Machine Learning and Data Analytics. Areas of particular interest are machine learning and data analytic algorithms, supporting infrastructure and software, applications, data-driven decision making, visualization and communication, big data technology, real-time analytics, learning methods including deep learning. Application packages should be submitted to: https://jobs.utsa.edu/postings/7627
Machine Learning and Its Applications. Outstanding candidates from all research areas of machine learning will be considered, but preference will be given to candidates with primary research interest in machine learning for autonomous systems, medical/health informatics, and IoTs, including (but not limited to) reasoning and decision making, and reinforcement learning. Application packages should be submitted to: https://jobs.utsa.edu/postings/7628
Duties include teaching, research, and service. By the time of hire, candidates must have a Ph.D. degree in Electrical/Computer Engineering, Computer Science or related areas with outstanding academic credentials that clearly demonstrate their ability to conduct independent and successful research in their areas of expertise and to build cross-disciplinary research programs. Candidates must have excellent communications skills with a commitment to engage in a high quality undergraduate and graduate education in areas of computer engineering. Responsibilities for the position include research, teaching at the graduate and undergraduate levels, and program development. Applicants who are selected for interviews must be able to show proof that they are eligible and qualified to work in the United States by the time of hire.
The Department of Electrical and Computer Engineering offers the B.S., M.S., and Ph.D. degrees supporting a dynamic and rapidly growing program. The research activities and experimental facilities have been well-supported by various federal research and infrastructure grants. See http://www.ece.utsa.edu for details.
The Department is committed to creating an environment that affirms diversity across a variety of dimensions, including ethnicity/race, gender identity and expression. The university and greater San Antonio community enjoy a diversity of culture, music, restaurants, year-round outdoor recreational activity, and social opportunities.
Review of completed applications will begin immediately and will continue until the positions are filled. UTSA is an Affirmative Action/Equal Employment Opportunity Employer. The College of Engineering and Department of Electrical and Computer Engineering at UTSA value equality, and strongly encourage women, minorities, veterans, and individuals with disabilities to apply.