Assistant/Associate/Full Professor (Tenured/Tenure-Track), MizzouForward, Electrical Engineering

University of Missouri - Columbia; Columbia Township (MO); On-site; USD 120,000 - 190,000; Full time

Job summary

The College of Engineering at the University of Missouri invites applications for senior faculty in EECS with CGI affiliation. Tenured and tenure-track positions emphasize geospatial intelligence, AI, and interdisciplinary collaboration.

Roles include advancing research, teaching at undergraduate and graduate levels, and developing federal partnerships. Priority is given to candidates who can contribute to MU’s strategic initiatives and collaborate with national labs and industry partners within

Qualifications

• An earned doctorate in computer science, computer engineering, electrical engineering, or a closely related field by the time of appointment.
• Active U.S. Government security clearance or ability to obtain at the Secret level or higher.

Responsibilities

• Conduct research in geospatial intelligence, AI, computer vision and related areas.
• Collaborate across the College of Engineering, CGI and MU research entities.
• Contribute to undergraduate and graduate education in EECS and related disciplines.
• Develop externally funded research programs with federal agencies and industry partners.

Education

Doctorate in CS, CE, EE or related field

Job description

Hiring Department

College of Engineering

Job Description

The College of Engineering at the University of Missouri (MU)invites applications and nominations for tenured and tenure-trackfaculty positions at the assistant, associate, or full professorlevel. Successful candidates will hold their academic appointmentsin the Department of Electrical Engineering and Computer Science(EECS), with an affiliation in the Center for GeospatialIntelligence (CGI).

This recruitment is part of MizzouForward, a major institutionalinvestment in faculty recruitment, research infrastructure, andstudent success. Successful candidates will enhance externallyfunded research programs that expand MU’s strengths in geospatialintelligence, contribute to undergraduate and graduate education inEECS, and advance interdisciplinary research through CGI.

CGI conducts interdisciplinary research across a broad range ofareas, including satellite, airborne (e.g., drone), andground-based remote sensing; artificial intelligence; computervision; autonomous systems; data fusion; high-performancecomputing; change detection; and surveillance. Incoming facultywill join a research community with established federalpartnerships and expertise in developing geospatial technologiesfor national security and other applications. CGI’s secure researchfacilities and specialized computing infrastructure support workwith government and industry partners.

The College of Engineering’s strategic plan emphasizesinterdisciplinary research connecting artificial intelligence,materials, and energy. Incoming faculty will have opportunities tocontribute to these priorities through collaborations that applygeospatial analysis and advanced computing to areas such as energyinfrastructure resilience, environmental monitoring, and materialsdiscovery. The Materials Science and Engineering Institute and theforthcoming Payne Energy Innovation Center, a 116,000-square-footfacility bringing together researchers in energy, materials, anddata science, will provide additional connections acrossEngineering and other colleges.

Faculty will also have opportunities to collaborate through MU’s AIEducation, Research and Infrastructure (AERI) Center, whichconnects researchers across disciplines to advance applied AIresearch, computing infrastructure, and workforce development. TheCenter for Cybersecurity and the Quantum Innovation Center offerfurther opportunities for collaborative research in secure systemsand quantum approaches to computing and data analysis. Universityresearch resources include the Hellbender high-performancecomputing environment and immersive visualization facilities for AIand large-scale data analytics.

Qualifications

Minimum Qualification

An earned doctorate in computer science, computer engineering,electrical engineering, or a closely related field by the time of appointment.

Active U.S. Government security clearance or ability to obtain U.S.Government security clearance at the Secret level or higher.

Candidates will be evaluated on the following factors

• Track record of external research funding, particularly fromfederal agencies
• Experience in, or demonstrated potential to contribute to, research addressing national security needs, including collaboration with federal agencies, national laboratories, or industry partners.
• Research portfolio and accomplishments (e.g., publicationrecord, number of citations)
• National awards and honors, membership with nationalacademies
• Interdisciplinary orientation of their work

The priority deadline for applications is November 30th,2026 but the posting will remain open until filled. Candidatesacross all academic ranks will be considered. This is not a remoteopportunity.

Please direct questions about your application, the hiring process, or the MizzouForward initiative to ( [e-mail] ).

Application Materials

To apply please submit:

• CV including (past, current and pending)