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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Research Professional - Grid Control and Machine Learning - **Company:** Oak Ridge National Laboratory - **Location:** Oak Ridge, TN, United States - **Contract:** Permanent contract - **Skills:** Data Analysis, C++ (Programming Language), Computer Programming, Computer Engineering, Decision Support Systems, Hardware Design, Monitoring of Systems, Hardware-In-The-Loop Simulation, Python (Programming Language), MATLAB, Machine Learning, Software Tools, Real Time Simulation, Grid Packaging Techology, Real Time Systems, Software Coding - **Published:** July 29, 2026 - **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/17735939?backUrl=%2Fcareer%2F17735939%2FResearch-Professional-Grid-Control-Machine-Learning-Tennessee-Oak-Ridge ## About the Role * Ph.D. in electrical engineering, power systems, computer engineering, control engineering, or a closely related field. * Strong background in power system modeling, dynamic simulation, and DER integration. * Experience with real-time systems, hardware-in-the-loop simulation, or power system testbeds. * Proficiency in programming and data analysis using tools such as Python, MATLAB, C/C++, or similar languages. * Ability to develop, validate, and document research prototypes, algorithms, and technical workflows. * Strong written and verbal communication skills for interdisciplinary research and engineering collaboration., * Experience with grid-edge sensing, synchronized measurements, PMU/POW data, or distribution-level monitoring systems. * Experience with reliable timing, time synchronization or timing-error impact analysis. * Experience with DER model aggregation, parameter identification, model reduction, or dynamic equivalent modeling. * Experience with power system simulation and modeling tools such as PSCAD, PSSE, OpenDSS, MATLAB/Simulink, or similar platforms. * Hands-on experience with real-time simulation or hardware-in-the-loop platforms such as OPAL-RT, RTDS, Typhoon HIL, or similar systems. * Familiarity with software coding and hardware development in the context of power systems research. * Proven track record of scholarly publications and presentations in relevant fields. * Experience in proposal writing. ## Description * Conduct innovative research on real-time, time-synchronized measurement-to-model approaches for modern power systems with high DER penetration. * Develop grid-edge sensing and real-time monitoring systems to provide high-resolution measurements for situational awareness, dynamic modeling, and control decisions. * Design reliable timing and synchronization architectures to ensure distributed grid-edge and substation measurements are time consistent and model ready. * Integrate grid-edge measurements and system-level observations into unified workflows for DER aggregation and parameter identification. * Apply machine learning techniques to improve DER/IBR model calibration, parameter estimation, uncertainty assessment, and decision support. * Build and apply hardware-in-the-loop test platforms to validate the full sensing, timing, modeling, and control under real-time conditions. * Establish HIL-based test protocols and performance metrics to assess accuracy, latency, and robustness under practical engineering constraints. * Collaborate with power systems, controls, hardware, and field engineering teams to transition measurement-driven models and real-time prototypes into deployable, control-ready solutions. * Deliver ORNL's mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. 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