Assistant/Associate Professor in Image Analysis

University of Utah • Salt Lake City, UT

81d

About The Position

The Scientific Computing and Imaging (SCI) Institute at the University of Utah is growing and pursuing multiple new faculty hires over the next 3 years. These hires will expand the core research expertise at the SCI Institute, further enhance its strong research reputation in scientific, information, and biomedical visualization; image and data analysis; and interdisciplinary scientific computing. A major goal is to attract new partnerships across the University and beyond. Candidates whose research expertise integrates social and technical aspects are of particular interest. This specific recruitment is for the rank of Assistant or Associate tenure-track faculty position in the broad area of image analysis. Successful candidates are expected to already have an established research program with extramural funding and significant scholarly publications. It is also expected that the candidate's research program will align with and complement the SCI Institute's core research thrusts, i.e., scientific, information, and biomedical visualization, image and data analysis, and interdisciplinary scientific computing, and advance its goals of multidisciplinary and translational impacts. Candidates will have an academic home in the Kahlert School of Computing of the Price College of Engineering.

Requirements

• Ph.D. in Computer Science, Electrical Engineering, or a related field.
• Established research program with extramural funding.
• Significant scholarly publications in image analysis or related areas.
• Commitment to interdisciplinary research and collaboration.

Nice To Haves

• Experience in teaching and mentoring students from diverse backgrounds.
• Interest in integrating social aspects into technical research.
• Experience with collaborative research projects.

Responsibilities

• Establish and maintain an active research program in image analysis.
• Secure extramural funding to support research activities.
• Publish significant scholarly work in relevant fields.
• Collaborate with faculty and researchers across disciplines.
• Contribute to curriculum development and teaching in the Kahlert School of Computing.

Benefits

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

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Industry: Educational Services
• Education Level: Ph.D. or professional degree