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We are seeking a highly motivated individual- either a Grade 7 PhD holder, or a Grade 6 graduate - to join the EYESAVE project, funded by the Vivensa Foundation Trust, as a Patient and Public
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on applying computer vision, machine learning, and sensor fusion to automatically detect, classify, and localize defects, improving the scalability and reliability of building inspection. Research on 3D
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machine learning to support early detection and prioritisation of patients at risk of vision loss. The role involves leading PPIE activities to ensure that patient perspectives and lived experiences shape
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multisource blending methods will then be applied (e.g. kriging, probabilistic merging, machine learning) to combine datasets and preserve extremes. Uncertainty will be quantified explicitly, with outputs
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Position Overview School / Campus / College: College of Engineering Organization: Electrical and Computer Engineering Title: Research Assistant Professor (Non-Tenure) - Li Lab Position Details
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background in AI—such as knowledge of machine learning or neural networks—will be an advantage. The appointee is expected to conduct focused research, publish scholarly outputs in reputable, peer-reviewed
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background in AI—such as knowledge of machine learning or neural networks—will be an advantage. The appointee is expected to conduct focused research, publish scholarly outputs in reputable, peer-reviewed
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sponsorship. Updated on 11/05/2025. Qualifications Required Qualifications PhD in aerospace engineering or related field Two or more years of research training Excellent analytical and computer programming
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. The individual is expected to work collaboratively with multidisciplinary teams from academia, government, and industry, and serve as PI/Co-PI on projects. Required Qualifications • Successful completion of a PhD
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Posting Title Graduate PhD (Year-Round) Intern - Grid Modeling . Location CO - Golden . Position Type Intern (Fixed Term) . Hours Per Week 20 . Working at NREL NREL is located at the foothills