Assistant/Associate Professor Of Computer Science

The College of Engineering and Computer Science at the University of Texas Rio Grande Valley (UTRGV) seeks applicants for multiple faculty positions for a college-wide cluster hire in the broad areas of machine learning, artificial intelligence, and data science with applications in autonomous systems, bioinformatics, manufacturing, energy systems, sensing and condition monitoring, robotics, wireless systems, and other emerging technology fields. Successful candidates will contribute to one or more of the following research centers in the College of Engineering & Computer Science:

The Center for Advanced Manufacturing Innovation and Cyber Systems (CAMICS), the Center for Nanotechnology, the Industrial Assessment Center, the NSF Center for Multidisciplinary Research Excellence in Cyber-Physical Infrastructure Systems (MECIS), the University Transportation Center for Railway Safety (UTCRS). The college hosts an interdisciplinary Ph.D. program in materials science and engineering, and a Ph.D. program in computer science with interdisciplinary applications expected in Fall 2024. For further information regarding UTRGV and the College, please visit our websites at http://www.utrgv.edu/cecs/. UTRGV faculty will be expected to demonstrate a strong commitment to student success, advancing the university, college, and program missions, and promoting access to postsecondary education to a diverse student body in UTRGV, one of the largest and most successful Hispanic-serving emerging research institutions in the U.S.A.

The Department of Computer Science currently offers several degree programs and research opportunities in the field of computer science with a total enrollment of over 1000 students. The department offers an ABET-accredited Bachelor of Science and a Master of Science in Computer Science, and the PhD program in Computer Science is expected to start in Fall 2024.

The department faculty members perform research spanning theoretical foundations, bioinformatics, machine learning, robotics, data mining and applications of Computer Science. Together, the programs prepare students for graduate study in Computer Science and technology-related fields, as well as careers in industry, particularly in software engineering, machine learning, human computer interaction, and web design/development. For further information regarding UTRGV and the CSCI department, please visit our website at http://www.utrgv.edu/csci/. The positions are for tenure track assistant professors; however, exceptional candidates may be considered for credit toward time on tenure track or for appointment as associate professor.

For priority consideration, applications must be received by November 1, 2023. Applications will continue to be reviewed until positions are filled.

A complete application will include the following required documents: Curriculum Vitae, Unofficial Transcripts, List of 3 References, Letter of Interest, Research Statement, and Teaching Philosophy.

Minimum Qualifications

Applicants must have a doctorate degree in Computer Science or a related field from an accredited university or be expected to have completed all requirements for the degree by the start date of September 1, 2024.

Discipline Specific Required Qualifications

Applicants must have a strong publication record, and skills in communication and collaboration. Candidates should be able to teach undergraduate/graduate computer science courses and provide evidence of the ability to establish an outstanding, funded research program at UTRGV.

Preferred Qualifications

The department offers a range of research opportunities spanning theoretical foundations, bioinformatics, machine learning, robotics, data mining and its applications. Fitting in line with the department's existing strengths and areas of need, in both research and teaching, is a substantial consideration. The ideal candidate possesses the following qualities and attributes: 1) experience and/or demonstrated ability developing and teaching courses integrating machine learning, artificial intelligence, data science, and/or intelligent engineering systems content, 2) experience and/or demonstrated ability to lead and propose new research projects and proposals to attract external federal, state, or private funding, such as NSF, DoD, DOE, DARPA, NIH, USDOT, NASA, or others, 3) strong communication skills and teamworking, and (4) demonstrated ability to play a collaborative role as a team member in initiatives for partnerships with schools, community colleges, government agencies, and industry to create an eco-system that will bring economic prosperity to the Rio Grande Valley.

License or Certification Required? No Salary Commensurate with Qualifications and Experience Desired Start Date 09/01/2024