Hiring Department
The David L. Payne Department of Electrical Engineering and Computer Science, University of Missouri, Columbia
Job Description
The University of Missouri (MU) David L. Payne Department of Electrical Engineering and Computer Science invites nominations and applications for an Assistant Professor position Artificial Intelligence with Geospatial and National Security Applications. The position rank is based on experience level and the background of the applicant. Exceptional applicants could be considered for higher rank appointments.
The University of Missouri is strengthening its position as a national leader with a historic $50 million gift and the start of construction on a new interdisciplinary research facility. The gift will transform the college by supporting academic programs and students, advancing faculty research and improving facilities, including a significant renovation of Naka Hall, home to the electrical engineering and computer science department. Spanning electrical engineering, computer engineering, computer science, information technology, and data science, EECS brings together expertise in fields transforming industry and society—from AI and quantum technologies to cybersecurity, geospatial intelligence, bioinformatics, and energy.
The Assistant Professor in artificial intelligence is anticipated to expand EECS’s undergraduate and graduate teaching mission and research programs in machine learning, computer vision, data analytics and high-performance computing, and contribute to the new MS and PhD degrees in Artificial Intelligence. The faculty member will pursue AI research with applications in geospatial intelligence and national security, including remote sensing, image and video analysis, multi-sensor data fusion and automated feature detection. The position will strengthen the connection between EECS’s academic programs, AI Education, Research and the Center for Geospatial Intelligence, while engaging students in federally sponsored research and preparing them for careers in AI, defense and intelligence.
Qualifications
Applicants must have a Ph.D. in Computer Science/Computer Engineering, or a closely related field. The faculty member will work closely with multiple departments or groups to grow their research area.
Application Materials
Applications will be reviewed immediately upon receipt. Please submit the following documents: (1) Cover letter, including a summary of professional accomplishments; (2) Curriculum vitae; (3) A narrative of your vision for the research area (4) Names and contact information of three references (The candidate will be notified before any references are contacted).
Application Deadline
Applications will be reviewed immediately upon receipt and will continue until the positions are filled.
Sponsorship Information
Employment visa sponsorship may be available for candidates currently in the United States in H-1B status or other work-authorized status.
Other Information
The University of Missouri is a Tier I research institution and one of only 60 public and private U.S. universities invited to membership in the prestigious Association of American Universities. The university was founded in 1839 in Columbia as the first public university west of the Mississippi River. Today, with an enrollment of more than 35,000 students, 13,000 full-time employees and 300,000 alumni, Mizzou is a $2.2 billion enterprise and an important investment for the state and nation.
Benefit Eligibility
This position is eligible for University benefits. As part of your total compensation, the University offers a comprehensive benefits package, including medical, dental and vision plans, retirement, and educational fee discounts for all four UM System campuses. For additional information on University benefits, please visit the Faculty & Staff Benefits website at https://www.umsystem.edu/departments-staff/human-resources/benefits-retirement
Equal Employment Opportunity
The University of Missouri is an Equal Opportunity Employer.
To request ADA accommodations, please call the Director of Accessibility and ADA at 573-884-7278.
