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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The University of Wisconsin-Madison fulfills its public mission by creating a welcoming and inclusive community for people from every background - people who as students, faculty, and staff serve Wisconsin and the world.

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