Grid AI Postdoc: Foundation Models for Power Systems

Brookhaven National Laboratory; Upton (NY); On-site; USD 70,200 - 85,000; Full time

Job summary

The role emphasizes independent research, collaboration with a multidisciplinary team, and potential renewal based on funding and performance. PhD required; salary range listed is $70,200–$85,000 per year.

Qualifications

• PhD in CS/EE/Math/Physics or related field.
• Strong background in ML and DL.
• Experience with PyTorch, JAX, or TensorFlow.
• Experience with Graph Neural Networks or Graph Transformers.
• Familiarity with model training, fine-tuning, evaluation, and deployment.
• Understanding of uncertainty quantification and physics-informed AI.
• GPU computing and large-scale model training experience.
• Demonstrated ability to conduct independent research.

Responsibilities

• Extend current GridFM capabilities for distribution networks.
• Develop scalable graph-based machine learning or related models.
• Expand training data generation capabilities.
• Create benchmarks and test developed models.

Skills

PhD required

ML / DL

PyTorch/JAX/TF

GNNs / Graph Transformers

Model training & deployment

GPU computing

Independent research

Education

PhD in related field

Tools

Git

CI/CD

Docker

OpenDSS

MATPOWER

PSS/E

Job description

The role emphasizes independent research, collaboration with a multidisciplinary team, and potential renewal based on funding and performance. PhD required; salary range listed is $70,200–$85,000 per year.