About The Position

The Kahlert School of Computing and the Scientific Computing & Imaging Institute at the University of Utah seek applications for an open-rank (Assistant, Associate, or Full Professor) tenure-track or tenured faculty position in the broad area of Artificial Intelligence (AI) with a focus on Image Analysis and Computer Vision. This position is part of a strategic expansion in artificial intelligence (AI), image analysis, and data science at the Kahlert School and the SCI Institute. The successful candidate will have the opportunity to lead collaborative AI-driven research that spans foundational and applied computing, leveraging the strengths of Kahlert School and the SCI Institute. Their work will bridge core computing disciplines-such as computer vision, large-scale AI systems, and machine learning-with cutting-edge, high-impact applications in scientific discovery, biomedical computing, computational medicine, and data-driven modeling.

Requirements

  • PhD in computer science or a related field.
  • Strong track record of developing foundational AI methodologies.
  • History of extramural funding.
  • Strong publication record in high-impact venues.
  • Established research program in AI-driven imaging research.

Nice To Haves

  • Experience in high-impact, innovative research at the intersection of AI and imaging sciences.
  • Expertise in machine learning for image analysis.
  • Knowledge of multimodal AI integrating imaging with other data modalities.
  • Experience with physics-aware and hybrid modeling for imaging applications.
  • Familiarity with trustworthy AI for image-based decision-making.

Responsibilities

  • Lead collaborative AI-driven research in image analysis and computer vision.
  • Develop foundational AI methodologies and translate them into innovative applications.
  • Foster interdisciplinary partnerships across the University and with external collaborators.
  • Contribute to novel AI-driven approaches for extracting, interpreting, reconstructing, and enhancing visual information.
  • Engage in teaching and mentorship, particularly in computing and interdisciplinary research.

Benefits

  • Generous benefits package including medical and dental plans.
  • Retirement plans.
  • Tuition reduction.
  • Wellness program.
  • Employee Assistance Program.

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What This Job Offers

Job Type

Full-time

Career Level

Entry Level

Industry

Educational Services

Education Level

Ph.D. or professional degree

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