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Job summary
Johns Hopkins University in Gaithersburg is seeking a PREP Research Associate to develop algorithms for real-time image processing in additive manufacturing. The position requires a graduate degree in a related field and 1-2 years of experience. Responsibilities include developing image analysis algorithms for high-speed cameras, measuring real-time workflow throughput, and creating AI workflows. Candidates familiar with image analysis, FPGA programming, and AI/Deep learning are encouraged to apply. This role offers competitive hourly pay ranging from $37.62 to $38.35.
Qualifications
A completed or in-process graduate degree in Computer Science, Engineering, Manufacturing, or a related field.
1-2 years of relevant experience.
Ability to develop prototypes of tools needed to analyze data.
Responsibilities
Develop image analysis algorithms that target the high-speed camera's FPGA.
Develop image analysis algorithms that target the capture card's FPGA.
Measure real-time throughput for developed image analysis workflows.
Skills
Familiarity with image analysis algorithms
Familiarity with FPGA programming
Familiarity with CPU and/or GPU image analysis
Experience with AI/Deep learning workflows
Strong oral and written communication skills
Education
Graduate degree in Computer Science, Engineering, Manufacturing, or a related field
Tools
Field Programmable Gate Arrays (FPGA)
CPU
GPU
Job description
Johns Hopkins University in Gaithersburg is seeking a PREP Research Associate to develop algorithms for real-time image processing in additive manufacturing. The position requires a graduate degree in a related field and 1-2 years of experience. Responsibilities include developing image analysis algorithms for high-speed cameras, measuring real-time workflow throughput, and creating AI workflows. Candidates familiar with image analysis, FPGA programming, and AI/Deep learning are encouraged to apply. This role offers competitive hourly pay ranging from $37.62 to $38.35.