About the position
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.
61589
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