The University of North Texas
Department of Computer Science and Engineering
Assistant/Associate Professor Positions
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 tenure track faculty positions in the Department of Computer Science and Engineering (CSE).
Position 1: Assistant Professor in Computer Engineering, broadly conceived to include Computer Systems Architecture, VLSI, Cyber-Physical Systems, Real-time and Embedded Systems, focusing on performance, security, resiliency and trustworthiness of such systems.
Position 2: Assistant or Associate Professor in Machine Learning. Candidates with an interest in Health, Environmental or Bio- Informatics, Natural Language Processing, Robotics, Vision, Data-Intensive Computing or Security are especially encouraged to apply.
The candidates for positions #1 and #2 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. Minimum qualifications include a Ph.D. in computer science, computer engineering or a closely related field.
Position 3: Assistant Professor in Computational and/or Data Science, including big data analytics, machine learning, artificial intelligence, quantum computing, and visualization. This is a joint position between Computer Science and Engineering and Mathematics. The successful candidate will have a strong background in mathematics and its applications to computer science, with an active research program involving the application of mathematical methods to an area within computational science or data science. The candidate must be able to stimulate an environment of interdisciplinarity, working with students and faculty from both departments. A Ph.D. in mathematics, computer science, or a closely related field will be expected by the time of appointment.
For an Assistant Professor position, a strong publication record and the potential to succeed in securing research funding and mentoring graduate students are required. For an Associate Professor position, a sustained record of providing mentoring to junior faculty, advising graduate students, providing service to the University and profession, and securing external funding for research activities are also required.
The Computer Science and Engineering department is home to 14 Professors, 9 Associate Professors, 4 Assistant Professors, 6 Lecturers, almost 100 Ph.D. students, over 200 master students, and almost 1100 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. Additional information about the department is available at the website: computerscience.engineering.unt.edu.
All applicants must apply online to: https://facultyjobs.unt.edu. Submit nominations and questions regarding the tenure track position in computer engineering (system identification number 6002140) to Dr. Krishna Kavi (Krishna.Kavi@unt.edu), the tenure track position in machine learning (system identification number 6002138) to Dr. Rodney Nielsen (Rodney.Nielsen@unt.edu), and the tenure track position in computational/data science (system identification number 6002142) to Dr. Stephen Jackson (Stephen.Jackson@unt.edu).
The committee will begin its review of applications on December 1, 2018 and continue to accept and review applications until the positions are filled.
As the nation’s 33rd largest public university and the largest, most comprehensive in the Dallas-Fort Worth area, UNT is dedicated to providing an excellent educational experience to its 38,000 students while powering the North Texas region, state
UNT is strategically located in Denton, Texas, a vibrant city with a lively The University of North Texas is an AA/ADA/EOE committed to diversity in its educational programs.