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electrical/mechanical design and process engineering in a research and development atmosphere. Projects range from creating one-line diagrams, generating P&ID from engineer input to new 3D models based
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computational thermodynamic (CALPHAD) software, such as Thermo-Calc, DICTRA, PANDAT, or FactSage. Proficiency in materials data analytics, including correlation analysis and machine learning techniques. Preferred
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a high aptitude for solving problems and developing and implementing solutions. Firm grasp of standard business computer software Ability to work with a variety of DOE sponsors and professional
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continuous improvement activities involving systems, structures, components, items, services, and work processes. ORNL is the largest U.S. Department of Energy science and energy laboratory. ORNL conducts
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Generative AI and Machine Learning skills. This position resides in the AI Operations Program office within the Application Development Division of the Information Technology Services Directorate. Our AI/ML
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interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure
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various workflow processes. Collaborate with colleagues and internal and external groups to design, test, implement, and maintain system enhancements and services while working within established policies
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systems, data systems, ETL, analytics, visualization, computer driven distributed data processing, or similar geospatial research projects. Experience with open-source tools and system, OGC web services
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written and oral communication skills. Proficiency with standard and advanced equipment, computer systems and software programs. Preferred Qualifications: Motivated self-starter with the ability to work
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degree or higher in Software Engineering, Electrical Engineering, Computer Engineering, or closely related engineering discipline. Minimum of 5 years of experience developing industrial monitoring and