Postdoc: AI-Driven Thermal Systems Modeling & Control

Oak Ridge National Laboratory

Oak Ridge (TN)

On-site

USD 65,000 - 90,000

Full time

6 days ago
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Benefits offered by this job

On-site facilities
Flexible work hours

Job summary

Oak Ridge National Laboratory seeks a Postdoctoral Research Associate to advance data-driven modeling, optimization, and autonomous control of thermal systems across HVAC, water heating, and data center cooling. You will intersect thermal-fluid science, control theory, and AI/ML to develop models, validate them with data, and deploy predictive maintenance strategies.

The role emphasizes physics-based modeling, reinforcement learning for control, and integration of real-time telemetry into

Qualifications

  • Ph.D. in Computer Science, Computer Engineering, Mechanical Engineering, Electrical Engineering, or related discipline within last five years.
  • At least 3 years of experience modeling and optimizing complex engineering systems.
  • Understanding of thermal-fluid system architecture and system-level performance.
  • Experience in control theory and control system design (e.g., MPC, feedback, adaptive).
  • Experience applying machine learning/AI to engineering systems.
  • Proficiency in Python, MATLAB/Simulink, and ML frameworks.
  • Experience with physics-based modeling and strong analytical skills.

Responsibilities

  • Develop physics-based and data-driven models of thermal systems to capture dynamic behavior.
  • Validate models against experimental data and improve accuracy and efficiency.
  • Model design, operation, and maintenance scenarios for optimization and decision-making.
  • Improve HVAC, water heating, and data center cooling performance.
  • Design and implement advanced control strategies for thermal systems.
  • Integrate real-time sensor data into closed-loop control frameworks.
  • Test control algorithms via simulation, HIL, or physical testbeds.
  • Apply ML to predict performance and detect anomalies.
  • Develop AI-driven predictive maintenance strategies.

Skills

Thermal-fluid modeling
Control theory
AI/ML applications
Independent researcher

Education

PhD in related field

Tools

Python
MATLAB/Simulink
TensorFlow
PyTorch

Job description

Oak Ridge National Laboratory seeks a Postdoctoral Research Associate to advance data-driven modeling, optimization, and autonomous control of thermal systems across HVAC, water heating, and data center cooling. You will intersect thermal-fluid science, control theory, and AI/ML to develop models, validate them with data, and deploy predictive maintenance strategies.

The role emphasizes physics-based modeling, reinforcement learning for control, and integration of real-time telemetry into

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