316 phd-position-in-image-processing-"Computer-Vision-Center" positions at Oak Ridge National Laboratory
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and Eligibility Applications will be accepted from January 7, 2026, March 1, 2026, for one position starting as early as May 4, 2026. This position will support one postdoc for two years. You must first
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, substation, corridor scenarios) Integrate physics-informed machine learning models with signal processing feature extraction Develop prototype software tools for automated waveform analytics and real-time
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, pyrometry, spectroscopy, co-axial and off-axis high speed imaging, and more) for process monitoring and diagnostics. Develop and implement data acquisition, signal processing, and data analytics frameworks
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Requisition Id 16022 Overview: We are seeking a Computer Scientist or Engineer with a focus on Vulnerability Research who will support the Cyber Resilience and Intelligence Division in the National
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Requisition Id 15974 Overview: We are seeking a Computer Engineer with a focus on Hardware Vulnerability Research who will support the Cyber Resilience and Intelligence Division in the National
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reports to and works closely with the Testbed Design Engineering Group Leader to deliver task assignments and design outputs while following established design processes. This position also works closely
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Requisition Id 15532 Overview: Oak Ridge National Laboratory (ORNL) seeks a Group Leader to lead groundbreaking research within an area of Material Processing. This position resides in the Materials
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performing x-ray computed tomography (XCT) imaging and the data analysis of images acquired using that method to identify features of interest and perform quantitative 3D image segmentation. The candidate will
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respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: PhD degree and 4 years of relevant postgraduate experience or a MS degree with 10 years
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fuels for industrial process heating. The position will be in the Manufacturing Sciences Division, but the candidate will be expected to collaborate across ORNL with a diverse array of scientists. In