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Job ID: 133254

Assistant Professor
University of North Texas


Date Posted Nov. 8, 2019
Title Assistant Professor
University University of North Texas
Denton, TX, United States
Department
Application Deadline Open until filled
Position Start Date Fall 2020
 
 
  • Assistant Professor
  • Computer Engineering
    Computer Science
 
 

The University of North Texas (UNT), a Tier 1 Research Institution (Carnegie Classification as a Doctoral University: Highest Research Activity), invites applications for the following faculty position in the Department of Computer Science and Engineering (CSE).

Assistant Professor in Computer Science and Engineering
The College of Engineering has established college-wide priorities for the areas of Artificial Intelligence/Machine Learning, Autonomous Vehicles, Digital Manufacturing, and Smart Sensors. The department plans to contribute to these priorities by hiring faculty in our existing strength areas of Algorithms and Computation Science, Artificial Intelligence and Data Science, Computer Systems and Networking, Cybersecurity, and Software Engineering. Candidates in the areas of artificial intelligence/machine learning, databases/information retrieval/data science, and security/information assurance, who can contribute to one or more of the department’s existing strengths and/or college priority areas, are especially encouraged to apply.

Candidates are expected to teach CSE undergraduate and graduate courses, develop a strong research program funded by external sources, support and mentor graduate students, and provide service to the University and the profession. This position begins in Fall 2020.

The Computer Science and Engineering department is home to 12 Professors, 10 Associate Professors, 7 Assistant Professors, 6 Lecturers, over 100 Ph.D. students, over 100 master students, and almost 1300 bachelor students. We offer a Ph.D. degree in Computer Science and Engineering, M. S. degrees in Computer Science and Computer Engineering, ABET-accredited B. S. degrees in Computer Science and Computer Engineering, and an ABET-accredited B. A. degree in Information Technology. More information is available at computerscience.engineering.unt.edu.

Application Procedure:
Submit nominations and questions regarding this position to Dr. Eduardo Blanco (Eduardo.Blanco@unt.edu).

Application Deadline:
The committee will begin its review December 1, 2019, and continue to accept applications until the position is closed.

The University:
UNT is the nation’s 33rd largest public university and the largest, most comprehensive in the Dallas-Fort Worth area, one of the fastest growing metropolitan areas with a population of about 7 million people, ever-increasing industrial and business activities, and a reasonable cost of living. The vibrant UNT College of Engineering has more than 100 faculty members. The college’s faculty also boast two National Academy memberships, more than 20 faculty fellowships across more than 15 societies, and five NSF CAREER Awards. The college is equipped with numerous state-of-the-art facilities including a recent $10 million boost to the Center for Agile and Adaptive Additive Manufacturing. The college plans to hire 17 tenure and tenure track faculty this year and to expand the college faculty by 50% in the next 5 years.
The University of North Texas System and its component institutions are committed to equal opportunity and comply with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University of North Texas System and its component institutions do not discriminate on the basis of race, color, sex, sexual orientation, gender identity, gender expression, religion, national origin, age, disability, genetic information, or veteran status in its application and admission processes, educational programs and activities, and employment practices. Ph.D. in computer science, computer engineering or a closely related field.

For an Assistant Professor position, a strong publication record and the potential to succeed in securing research funding and mentoring graduate students are required.


 
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