Computer Engineering

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Employment Type: Terminal (Fixed Term)
Job Profile: Instrumentation Engineer II
Job Summary: The Computer Vision Engineer will lead efforts to develop sophisticated image analysis methods and cutting-edge approaches for analyzing optical images of biological samples. This position will develop graphical user interfaces (GUIs) and implement tailored image analysis approaches to enable collaborating scientists to use these tools for each. Duties of this position also include contributing to instrument design projects, advising and assisting in developing instrument control workflows, and developing automation methods. This position will oversee day-to-day operations regarding computational workflows and analysis pipelines developed in the lab. Additional responsibilities include assisting with grant applications and scientific/technical manuscript preparation, as well as generating progress and other reports for internal and external parties. The position requires interaction with collaborating scientists to advise them on image analysis tasks or advance projects and technologies.
May supervise the daily activities of unit or program staff, identifies and facilitates staff training opportunities, and resolves routine personnel issues
Uses universally accepted computer design applications for modeling, sophisticated analysis, and optimization of large-scale design and fabrication efforts
Supports or is directly responsible for efforts to coordinate project activities
Serves as part of a multidisciplinary team, conceptualizes, specifies, designs, constructs, integrates, operates, tests, calibrates, documents, and improves unique, large-scale instrumentation systems
Department: Center for Quantitative Cell Imaging - Office of the Vice Chancellor for Research
Required Qualifications: Significant experience (>10 years) with scientific computing, image analysis, and
Programing skills in MATLAB, Python, and Java Experience working with light-sheet microscopy data and with sCMOS cameras.
Preferred Qualifications: Superior technical writing skills and the ability to work with team members from diverse scientific backgrounds.
Education: MS in Physics or Geophysics, Electrical Engineering, Computer Science, or Math
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