University of North Texas 
Multiple Cluster Hires
The College of Engineering at the University of North Texas is seeking highly qualified candidates for 13 tenured and tenure-track faculty positions in several research clusters to fill positions across the college. The selected candidates will be expected to work collaboratively within their cluster and across the college while supporting their home department. The descriptions of the research clusters are provided below.
Semiconductors
One position is available at the full professor rank in the Department of Electrical Engineering.
The successful candidate is expected to be a leading member of the Center for Microelectronics in Extreme Environments (CMEE), which manages the UNT cleanroom, and have a distinguished record of collaborative research appropriate for holding the Lupe Murchison Foundation Professorship in Engineering, an endowed faculty position in the college. Specific fields of interest in the areas of semiconductor devices, circuits, and systems include but are not limited to
- Wide-bandgap and ultra-wide-bandgap semiconductor technologies for high-power, high-frequency, and extreme-environment applications;
- Micro/nanoelectronic device design and fabrication; advanced packaging and heterogeneous integration;
- Analog and mixed-signal circuits for AI hardware, RF/mmWave devices, and next-generation wireless front ends;
- Integrated device-circuit-system design for applications in computing, communications, sensing, and other emerging technologies.
This cluster is collaborative with the Department of Materials Science and Engineering and the Department of Physics in the College of Science.
Robotics, Automation, and Human-Robot Interaction
This cluster is collaborative between Mechanical Engineering, Electrical Engineering, and Computer Science and Engineering. It includes four total lines, two of which are at the full-professor rank and the remaining two are at the associate or assistant professor rank.
Fields of interest include but are not limited to
- Autonomous robotic systems, autonomous construction and manufacturing, soft robotics, medical and surgical robotics
- Physical AI and embodied intelligence, humanoid robotics and whole-body manipulation, AI-driven automation, swarm robotics, collaborative and assistive robotics
- Sensors and algorithms for robotics and automation, robot perception, human–robot interaction, safety-critical human-robot collaboration, AI-driven robot training, immersive interfaces for robotics, digital twins for robotics.
Transportation, Infrastructure, Construction, and Sustainability Engineering
This cluster is concentrated in the Mechanical Engineering Department, and three faculty lines are available, one at each rank (full, associate, and assistant professor).
Candidates are sought whose research advances sustainable and intelligent physical systems while bridging interdisciplinary boundaries with Electrical Engineering, Computer Science and Engineering, Materials Science and Engineering, and Supply Chain Management. Fields of interest include but are not limited to
- Logistics & Smart Mobility: Autonomous transport in urban and contested environments, microgrids, alternative powertrains, control and communications, and resilient mobility networks and supply chains.
- Resilient Infrastructure: Water/wastewater systems, multi-hazard design (blast, climate, seismic), cyber-physical systems and security, and resilient energy infrastructure.
- Autonomous and Sustainable Construction: Robotic construction, digital twins, smart materials for sustainable construction and adaptive foundations, and edge AI for structural inspection.
Artificial Intelligence
As AI touches all departments within the College of Engineering, this cluster considers applicants from all engineering backgrounds. Two faculty lines are available in this cluster: one at the assistant professor rank in the Department of Computer Science and Engineering and one at the associate or assistant professor rank in any department in the College.
Candidates are sought who advance the foundations of artificial intelligence and machine learning, from reinforcement learning to biocomputing to the emerging intersection of AI and quantum computing. We also seek candidates who bring those methods into the engineered systems (design, build, and operate), whether those systems are computational or physical. Successful applicants will show depth within their own discipline together with the ambition to work across the College. We are also interested in candidates whose research addresses AI for engineering and computer science education.
positions in Artificial Intelligence
Cancer Research
This cluster is collaborative between Biomedical Engineering and Computer Science and Engineering. It includes three total lines: two at the assistant professor rank (one each in Biomedical Engineering and Computer Science and Engineering) and one at the full professor rank (in Biomedical Engineering). Candidates are sought whose research addresses fundamental or translational challenges in cancer through innovative engineering and computational approaches. Fields of interest include but are not limited to
- Cancer diagnostics: biomedical imaging, biomedical optics, molecular imaging, biosensors, liquid biopsy, AI-enabled diagnostics, and computational pathology.
- Cancer therapeutics: nanomedicine, targeted drug delivery, immunoengineering, biomaterials, cell and gene therapies, cancer immunotherapy, and precision oncology.
The candidates for these positions are expected to teach 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 a related engineering discipline or computer science as appropriate for the targeted fields in the cluster. 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. For a full Professor position, an international reputation for collaborative scholarly research and leadership in the field are also required.
The University of North Texas (UNT) is a Hispanic-Serving/Minority-Serving Institution, a Tier 1 Research Institution (Carnegie Classification as a Doctoral University: Highest Research Activity), and a founding member of the Alliance for Hispanic-Serving Research Universities. As one of the nation’s largest public universities and the largest, most comprehensive in the Dallas-Fort Worth area, UNT is dedicated to providing an excellent educational experience to its 43,500 students while powering the North Texas region, state, and nation through innovative education and research. UNT is strategically located in Denton, Texas, a vibrant city with a lively arts and music culture.
Located at Denton’s Discovery Park, the UNT College of Engineering features a high-density ecosystem designed for rapid cross-disciplinary breakthroughs. Serving over 6,000 students, the college offers a comprehensive selection of five doctoral, 11 master’s, and 12 bachelor’s programs, which are supported by five departments: Biomedical Engineering, Computer Science and Engineering, Electrical Engineering, Materials Science and Engineering, and Mechanical Engineering. The college leverages its collaborative research community to drive nearly half of the research expenditures of the university and has experienced rapid growth in its research ecosystem over the past five years. Being located in the Dallas-Ft. Worth region provides access to one of the most dynamic technical regions in the country.