- Career Center Home
- Search Jobs
- Assistant Professor of Computer Engineering
Description
Assistant Professor of Computer Engineering
Electrical Engineering and Computer Science
The Electrical Engineering and Computer Science (EECS) department at the South Dakota School of Mines & Technology invites applications for a full-time, 9-month, benefited, tenure-track position in Computer Engineering at the rank of Assistant Professor, with an anticipated start date of August 2026. An earned doctorate in Computer Engineering, Electrical Engineering or a closely related field is required before the start date.
Candidates with experience related to IOT, Edge AI, real time and embedded systems, Computer Architecture, HDLs, FPGAs, industry-academic collaborations, or innovation-based learning are encouraged to apply. The successful candidate is expected to secure and lead externally funded research and perform scholarly activities, teach state-of-the-art undergraduate and graduate courses in computer engineering, advise undergraduate and graduate students, and engage in service activities as assigned.
The EECS faculty at South Dakota Mines have expertise in applied electromagnetics, antennas & communications, cyber-physical systems and security, data science and engineering, high performance computing, machine learning and artificial intelligence, robotics & autonomous systems, automatic control, power & energy systems, and virtual reality. Faculty members are also actively involved in a variety of interdisciplinary research projects across the campus.
Our degree programs are ABET-accredited Bachelor of Science in Computer Engineering, Computer Science (with specialization options), Data Science and Engineering and Electrical Engineering, Masters of Science in Electrical Engineering as well as Computer Science and Engineering, and Doctors of Philosophy in Electrical Engineering as well as Data Science and Engineering. In 2021, Study.com ranked South Dakota Mines’ electrical engineering program among the top 10 in the nation. In 2018, CollegeChoice.net ranked our electrical engineering graduate program as the 24th best, nationwide. More information is available on the department website, www.sdsmt.edu/eecs.
Founded in 1885, South Dakota Mines is the premier destination for ambitious students seeking bachelor’s, master’s, or doctoral degrees at the intersection of innovation and tradition. Renowned for hands-on learning and pioneering research, Mines educates future leaders in STEM fields who will make a meaningful impact on the world. Our vibrant community of supportive faculty, tenacious students, and passionate alumni fosters a culture of ingenuity, collaboration, and lifelong success.
Nearly 2,500 students from every state and over 40 countries are represented on the Mines campus. The university is recognized for its rigorous curriculum and boasts a strong return on investment for its graduates. With an average class size of 24 and a 13:1 student-to-faculty ratio, Mines is committed to delivering an education that equips students with the skills and experience needed to thrive in their chosen fields.
At Mines, student life is vibrant and welcoming, offering more than 80 clubs and organizations that foster a sense of community and provide leadership opportunities. Co-curricular activities, such as internships, cooperative education opportunities, and professional development programs, ensure that students gain practical, hands-on experience in their fields while enhancing their academic learning. Students can explore their passions outside the classroom, from competitive athletics, music programs, and intramural sports to professional societies, competitive engineering teams, and cultural clubs.
South Dakota Mines faculty, staff, and students drive groundbreaking research across five main areas: advanced materials and manufacturing, deep underground science and engineering, critical and sustainable resources, smart and resilient cyber-infrastructure, and data science and numerical modeling. This research advances technology and innovation and offers students hands-on opportunities to address real-world challenges, preparing them for leadership roles in their careers and beyond. With a strong emphasis on entrepreneurship, South Dakota Mines provides programming that empowers students and faculty to transform scientific and technological innovations into viable products and startups.
Rapid City, the home of the Hardrockers, is the state's second-largest city, with an MSA population of over 158,000. The city sees an average of 226 days of sunshine annually and is surrounded by many things to see and do. The region has roughly 1.2 million acres of breathtaking scenery in the Black Hills National Forest, 700 miles of motorized trails, nearly 500 miles of hiking trails as well as top attractions like historic Deadwood, Mount Rushmore, Crazy Horse Memorial, Badlands National Park, Terry Peak Ski Area, and Reptile Gardens.
South Dakota Mines is committed to recruiting and retaining a talented workforce and offers an excellent comprehensive benefits package, including medical, dental, vision, and life coverage options for employees, spouses, and dependents; retirement plans; paid holidays; and a generous vacation and sick day allowance. Individuals interested in this position must apply online at Careers at Mines (sdsmt.edu). Human Resources can provide accommodation to the online application process and may be reached at (605) 394-1203. Review of applications will begin December 1, 2025, and will continue until the position is filled. Employment is contingent upon completion of a satisfactory background investigation.
South Dakota Mines is an Equal Opportunity Employer. South Dakota Mines and the Board of Regents ensure that all employment practices are free of discrimination.
Requirements
An earned doctorate in Computer Engineering, Electrical Engineering or a closely related field is required before the start date.
Candidates with experience related to IOT, Edge AI, real time and embedded systems, Computer Architecture, HDLs, FPGAs, industry-academic collaborations, or innovation-based learning are encouraged to apply. The successful candidate is expected to secure and lead externally funded research and perform scholarly activities, teach state-of-the-art undergraduate and graduate courses in computer engineering, advise undergraduate and graduate students, and engage in service activities as assigned.