AI-Powered Digital Twin for Data Center Thermal Optimization

Oak Ridge Institute for Science and Education; Morgantown (WV); On-site; USD 41,000 - 78,000; Full time

Job summary

Oak Ridge Institute for Science and Education (ORISE) administers a student researcher opportunity with the National Energy Technology Laboratory (NETL) in Morgantown, WV. The project focuses on applying AI, ML and reduced-order modeling to develop a digital twin for NETL's Joule 3.0 MDC under the AFERA framework.

Participants gain hands-on experience, mentors, and an opportunity to contribute to scholarly publications, with stipends of 788 to 1499 USD per week depending on status.

Qualifications

• Familiarity with AI/ML, physics-informed neural networks, or ROM.
• Some experience with programming tools (Python, MATLAB, C/C++).
• Familiarity with ML: predictive modeling, anomaly detection, supervised learning, deep learning, feature engineering, hyperparameter tuning, model evaluation.
• Technical communication skills.

Responsibilities

• Gain familiarity with the AFERA digital engineering approach.
• Identify advantages of the AFERA approach to accelerate research.
• Synthesize and analyze diverse data streams and performance.
• Collaborate with research scientists.

Skills

AI/ML basics

Physics-informed ML

Reduced-order modeling (ROM)

Education

Undergrad or Grad student status

GPA 2.5/4.0+

Tools

Python

MATLAB

C++

C

Job description

Oak Ridge Institute for Science and Education (ORISE) administers a student researcher opportunity with the National Energy Technology Laboratory (NETL) in Morgantown, WV. The project focuses on applying AI, ML and reduced-order modeling to develop a digital twin for NETL's Joule 3.0 MDC under the AFERA framework.

Participants gain hands-on experience, mentors, and an opportunity to contribute to scholarly publications, with stipends of 788 to 1499 USD per week depending on status.