Postdoc: AI for Science & High-Performance Computing

Oak Ridge National Laboratory; Oak Ridge (TN); On-site; USD 60,000 - 76,000; Full time

Benefits offered by this job

Relocation Assistance

Educational Assistance

Wellness Programs

Flexible Work Hours

Job summary

Oak Ridge National Laboratory seeks a Postdoctoral Research Associate specializing in AI for science. You will research at the intersection of ML, HPC, scientific modeling, and domain-informed AI to accelerate discovery across DOE mission areas in energy, materials, biology, and more.

The role involves designing and evaluating AI methods that couple data, simulations, and scientific principles, with opportunities to work on world-class computing resources and scalable AI workflows for

Qualifications

• PhD required in CS/Math/Computational Science.
• Hands-on experience with HPC algorithms for ML models.
• Proven research experience in AI/ML techniques.

Responsibilities

• Develop AI and knowledge-guided learning algorithms for scientific discovery.
• Design AI workflows integrating simulation, data, domain knowledge and HPC.
• Incorporate scientific constraints, ontologies, knowledge graphs into ML systems.
• Explore scientific foundation models, surrogate models and digital twins.

Skills

HPC algorithms

AI/ML techniques

Knowledge-guided ML

Physics-informed ML

Graph neural networks

Geometric deep learning

Operator learning

Generative models

AI agents

High-performance computing apps

Education

PhD in Computer Science / Applied Mathematics / Computational Science

Tools

MPI

NCCL

Distributed algorithms

Job description

Oak Ridge National Laboratory seeks a Postdoctoral Research Associate specializing in AI for science. You will research at the intersection of ML, HPC, scientific modeling, and domain-informed AI to accelerate discovery across DOE mission areas in energy, materials, biology, and more.

The role involves designing and evaluating AI methods that couple data, simulations, and scientific principles, with opportunities to work on world-class computing resources and scalable AI workflows for