POSTING TEXT

The Department of Electrical Engineering and Computer Science (EECS) at South Dakota State University (SDSU), within the Jerome J. Lohr College of Engineering, is seeking candidates for two 9-month, full-time, tenure-track faculty positions at the rank of Assistant Professor in Computer Science, with a start date in August 2025. Located on our main campus in Brookings, South Dakota, this benefits-eligible position reports to the EECS Department Head.
The Department of Electrical Engineering and Computer Science (EECS) is home to a thriving research culture, with several faculty members securing NSF funding and publishing in leading venues across fields such as big data, computer networks, natural language processing, machine learning, and artificial intelligence. This dedication to research excellence is further highlighted by the Jerome J. Lohr College of Engineering, which has earned two prestigious NSF CAREER awards in the past two years, underscoring its growing prominence. The EECS department integrates all aspects of electricity, electronics, hardware, and software into a dynamic, multi-disciplinary unit, offering degree programs in electrical engineering and computer science, along with minors in computer science, biomedical engineering, and software engineering. With established research programs in materials science, nanotechnology, sensors, photovoltaics, and satellite image processing, our alumni are excelling globally. Seventeen dedicated faculty members combine their passion for research and teaching, incorporating cutting-edge advancements into the classroom to enrich both undergraduate and graduate education.

MINIMUM QUALIFICATIONS:

• Earned Ph.D. in computer science, software engineering, or a closely related field by start date.
• Ability or potential to create an independent and collaborative research program in the preferred areas of computer science (Cybersecurity, Software security, Artificial Intelligence emphasizing explainable and trustworthy AI, Robotics, Quantum computing, and Natural Language processing) or closely related area that will compliment the current research agenda in the department.
• Ability or potential to secure extramural funding from various sources.
• Ability or potential to publish research in premium journals and/or flagship conferences.
• Ability or potential to develop curriculum and teach courses at the undergraduate and/or graduate level.
• Effective written, verbal and interpersonal communication skills

DEPARTMENT DESCRIPTION AND CULTURAL EXPECTATIONS

SDState is the state’s largest, most comprehensive university with over $84 million annual research expenditures, more than 200 academic programs and an enrollment of approximately 12,000 students. The university is part of a dynamic community for families, students, young professionals, and retirees, which offers an abundance of attractions and activities.

This position is expected to teach and perform research in one of the following preferred areas in computer science (CS); Cybersecurity, Software security, Artificial Intelligence emphasizing explainable and trustworthy AI, Robotics, Quantum computing, and Natural Language processing, or closely related areas. The incumbent will establish and sustain an independent and vibrant research agenda that includes securing independent funding from various sources and disseminating research results in leading scientific journals and conference proceedings. Through this process, the employee will mentor undergraduate students on existing CS/SE and university research programs as well as mentor and supervisor graduate students through their graduate research program. Teaching responsibilities will include in person, online and hybrid instruction of standard undergraduate lecture and lab courses in CS, overall curriculum development and establishing upper-level courses in the incumbent’s area(s) of expertise. Contributing to professional societies through research, teaching and service for the diversity of thought and success of the next generation of computer scientists is expected as well as research collaboration within EECS, the Jerome J. Lohr College of Engineering, and University.