Research Professional - Grid Control and Machine Learning
Oak Ridge, TN, US, 37830
USD 120K-180K (estimate) Senior-level Full Time
Tasks
- Apply machine learning for model calibration
- Build hardware in the loop test platforms
- Collaborate with interdisciplinary engineering teams
- Conduct real time measurement to model research
- Design timing and synchronization architectures
- Develop grid edge sensing and real time monitoring
- Establish hardware in the loop test protocols and metrics
- Integrate grid edge measurements into unified workflows
- Transition prototypes into deployable control solutions
Perks/Benefits
- Dental plan
- Disability benefits
- Educational assistance
- Employee assistance plan
- Employee discounts
- Flexible work hours
- Generous vacation and holidays
- Life insurance
- Medical insurance
- Parental leave
- Relocation assistance
- Retirement plan
- Vision plan
- Wellness programs
Skills/Tech-stack
C# | C++ | Control Engineering | DER Aggregation | Data Analysis | Dynamic Equivalent Modeling | Dynamic Simulation | Hardware-in-the-loop | MATLAB | Machine Learning | Model calibration | Model reduction | Parameter estimation | Parameter identification | Power System Modeling | Power system | Python | Real Time | Real-time Systems | Software development | System Modeling | The Loop | Time Synchronization | Time Systems | Uncertainty Quantification
Education
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