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) to meet special customer needs or modify existing systems. PLC programming as required. Adhere to the principles of Safe Conduct of Research by raising safety concerns, maintaining a questioning attitude
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collaborative research portfolio. This position resides in the Defense Manufacturing Program Office (DMPO) in the National Security Science Directorate, NSSD at Oak Ridge National Laboratory (ORNL). The National
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learning solutions that support laboratory-wide training programs and organizational performance initiatives. This position resides in the Instructional Systems Design Group within the Office of Technical
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and translate them into solutions for energy, environmental, and security challenges facing the nation. ORNL offers competitive pay and benefits programs to attract and retain individuals who
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, or similar). Experience with parallel programming frameworks (e.g., MPI, OpenMP, CUDA) and high-performance interconnects (e.g., InfiniBand). Active DOE Q, active DOD Top Secret, or active DOD TS/SCI clearance
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, artificial intelligence, or machine and reinforcement learning applications for power systems. Experience contributing to successful research proposals and sponsored R&D programs. Demonstrated ability
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team Excellent communication skills as evidenced by previous reports, papers, and presentations Preferred Qualifications: Experience developing funded research programs Experience applying advanced
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objectives are completed on time, within scope, and satisfy operational excellence for the needs of the program. Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values
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completed within the last 5 years or expected to be completed soon. Expertise in AI/ML methods in an environmental or Earth science context Experience programming in Python or related languages A strong
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for building system dynamics models and for converting those models into probabilistic programs so their parameters can be inferred from data. The successful candidate will extend the mathematical and