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Faculty Positions in Computing and Informatics at UL Lafayette

University of Louisiana at Lafayette


Location:
Lafayette, Louisiana 70504-3694
Date:
10/07/2017
2017-10-072017-11-06
Job Type:
Employee
Job Status:
Full Time
Categories:
  • Artificial Intelligence
  • Human-Computer Interaction and Design
  • Mobile and Wireless
  • Network and Information Technology
  • Programming and Applications
University of Louisiana at Lafayette
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Job Details

The School of Computing and Informatics (cmix.louisiana.edu/) at the University of Louisiana at Lafayette currently has 32 faculty members with specialties in all major branches of computer science, computer engineering, and information systems. The School offers B.S. degrees in computer science and informatics in the Computer Science and Informatics Programs respectively; M.S. degrees in computer science, computer engineering and informatics; and Ph.D. degrees in computer science and computer engineering, in the Center of Advanced Computer Studies (CACS). CACS is the research arm of the School, and is one of the best-ranked research programs in the US. The NSF I/UCRC Center for Visual and Decision Informatics (CVDI) led by CACS faculty in the School is the only such NSF Center in the nation that focuses on data science, big data analytics, and visual analytics. The CVDI is poised to become the largest center of its kind in the U.S. after receiving approval for a second round of National Science Foundation funding in March 2017. We are recruiting up-to-4 tenure-track and tenured lines this year.

Located midway between New Orleans and Houston, Lafayette is the heart of Louisiana's Acadian-Creole region. The city of over 122,000 is part of the Lafayette-Acadiana area with a total population of 550,000, and is one of Louisiana's fastest-growing metropolitans. Lafayette serves as the base of Louisiana's offshore oil industry, as well as the financial, retail, and medical center for South-Central Louisiana.

Requirements

The successful applicant must hold a Ph.D. in Computer Science, Computer Engineering, or a closely related field by the time of appointment, possess a record of research excellence, demonstrate strong teaching commitments to graduate and undergraduate courses.  While outstanding applicants in all pertinent areas of research will be considered, preference will be given to candidates with expertise in big data analytics, networking and networked systems, and health informatics.

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