Computer Vision Engineer

• May supervise the daily activities of unit or program staff, identifies and facilitates staff training opportunities, and resolves routine personnel issues

• Provides innovative expertise and experience in an area of discipline. 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

• Conducts research and development of new processes, techniques, and approaches for use in advanced instrumentation systems in collaboration with scientists and other research staff

• Prepares reports of design status and/or technical research for professional organizations, government/sponsor review boards, and design reviews. Participates in reviews

Department:

Center for Quantitative Cell Imaging - Office of the Vice Chancellor for Research

Compensation:

The starting salary for the position is $74,154 (but is negotiable based on experience and qualifications).

Required Qualifications:

Significant experience (>10 years) with scientific computing, image analysis, and experience in developing Machine Learning Based Image Segmentation. 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

How to Apply:

Please click the Apply Now box to start the application process. Please upload the following documents:

• A current resume or CV highlighting your experience, training, and/or credentials relevant to the position.
• A cover letter describing your interest in the position, summarizing your relevant experience, and explaining how your background aligns with the requirements of the role.

Please note, there will only be one attachment field. You must upload all of your documents in the attachment field. Applications submitted without both documents may still be considered, but both a cover letter and resume are required to guarantee consideration.

Contact Information:

• Christopher Johnson
• christopher.j.johnson@wisc.edu

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