73 digital-image-processing-phd-scholarship Postdoctoral positions at Oak Ridge National Laboratory
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advanced manufacturing processes. This position resides in the Deposition Science and Technology Group in the Manufacturing Science Division (MSD), Energy Science and Technology Directorate (ESTD) at Oak
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advanced manufacturing processes. This position resides in the Deposition Science and Technology Group in the Manufacturing Science Division (MSD), Energy Science and Technology Directorate (ESTD) at Oak
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Requisition Id 16712 Overview: We are seeking a Postdoctoral Research Associate in inorganic or materials chemistry/science or chemical engineer who will focus on separation, processing, and
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materials. These systems are instrumented and connected through a unified digital thread platform that captures multimodal, high-frequency data across the full manufacturing lifecycle, from process execution
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guided by AI/ML, remote sensing, process-based modeling, field observations and experiments, and advanced analytical techniques. Major Duties/Responsibilities: Independently and collaboratively lead field
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fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: PhD in Chemical Engineering, Materials Science & Engineering, Nuclear Engineering
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and aspects related to safety and best practices. The candidate will make extensive use of state-of-the-art imaging, spectroscopy (Raman, electron microscopy, infrared, etc.) and scattering methods
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research. Your work will focus on developing selective chelation strategies and applying these systems to targeted radionuclide therapy and cancer imaging. Research accomplishments will be disseminated
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respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD degree in material science, chemical engineering, mechanical engineering, polymer chemistry
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transformation response Demonstrated expertise in process development/optimization for digital twin, surrogate and reduced-order models and ML/AI tools applied to macro-scale deformation in AM Experience with