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

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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-track faculty positions at the assistant, associate, or full professor level. Successful candidates will hold their academic appointments in the Department of Electrical Engineering and Computer Science (EECS), with an affiliation in the Center for Geospatial Intelligence (CGI).

This recruitment is part of MizzouForward, a major institutional investment in faculty recruitment, research infrastructure, and student success. Successful candidates will enhance externally funded research programs that expand MU’s strengths in geospatial intelligence, contribute to undergraduate and graduate education in EECS, and advance interdisciplinary research through CGI.

CGI conducts interdisciplinary research across a broad range of areas, including satellite, airborne (e.g., drone), and ground-based remote sensing; artificial intelligence; computer vision; autonomous systems; data fusion; high-performance computing; change detection; and surveillance. Incoming faculty will join a research community with established federal partnerships and expertise in developing geospatial technologies for national security and other applications. CGI’s secure research facilities and specialized computing infrastructure support work with government and industry partners.

The College of Engineering’s strategic plan emphasizes interdisciplinary research connecting artificial intelligence, materials, and energy. Incoming faculty will have opportunities to contribute to these priorities through collaborations that apply geospatial analysis and advanced computing to areas such as energy infrastructure resilience, environmental monitoring, and materials discovery. The Materials Science and Engineering Institute and the forthcoming Payne Energy Innovation Center, a 116,000-square-foot facility bringing together researchers in energy, materials, and data science, will provide additional connections across Engineering and other colleges.

Faculty will also have opportunities to collaborate through MU’s AI Education, Research and Infrastructure (AERI) Center, which connects researchers across disciplines to advance applied AI research, computing infrastructure, and workforce development. The Center for Cybersecurity and the Quantum Innovation Center offer further opportunities for collaborative research in secure systems and quantum approaches to computing and data analysis. University research resources include the Hellbender high-performance computing environment and immersive visualization facilities for AI and 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 from federal agencies
  • Experience in, or demonstrated potential to contribute to, research addressing national security needs, including collaboration with federal agencies, national laboratories, or industry partners.

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