Apply on Employer Site

Oak Ridge National Laboratory · 7 hours ago

Postdoctoral Research Associate

Oak Ridge, TN

Full-time

Onsite

New Grad, Entry Level

Oak Ridge National Laboratory (ORNL) is a U.S. Department of Energy national laboratory focused on addressing the nation’s pressing challenges. They are seeking a postdoctoral researcher to enhance capabilities in AI-ready scientific data and workflows, involving collaboration with scientists and engineers on cutting-edge research leveraging the Frontier supercomputer.

Advanced MaterialsClean EnergyEnergyEnergy ManagementManufacturingNuclearRenewable Energy

No H1B

U.S. Citizen Only

Responsibilities

Design and implement system software to enable AI-readiness for scientific data by developing adaptive techniques capable of maintaining relationships between data and metadata

Collaborate on innovative solutions to automate and optimize the interplay between large scientific simulations, data ingestion, and AI processes (e.g., model training, inference)

Develop agentic AI systems and AI harnessing techniques to enhance model quality, resource optimization, and adaptive execution in diverse workflows

Investigate strategies to balance performance and resilience across heterogeneous computational resources while addressing workflow requirements for scientific applications

Validate distributed intelligence algorithms at scale on ORNL's computational resources, including the Frontier supercomputer, addressing critical challenges in science and engineering

Communicate and coordinate experimental results with other domain experts to facilitate collaboration

Present and report research results and publish scientific results in peer-reviewed journals or conferences

Qualification

High Performance ComputingMachine LearningData ManagementWorkflow ManagementPythonC++Distributed SystemsProblem-solvingCommunicationTeam Collaboration

Required

A PhD in Computer Science, Applied Mathematics, Computational Science, or related discipline completed within the last five years

An excellent record of productive and creative research as demonstrated by publications in top peer-reviewed journals and conferences

Demonstrated research experience with HPC, AI/ML and/or distributed systems techniques

Proficiency in programming languages such as Python, C++, or similar, as well as experience with HPC environments and parallel computing

Demonstrated hands-on experience and understanding of developing scientific data management, workflows and resource management problems

Strong problem-solving and communication skills, with the ability to work collaboratively in a team setting

Preferred

Experience with AI-readiness pipelines, particularly in integrating scientific data with AI workflows

Familiarity with concepts like metadata management, parameter space coverage, or agentic AI

Prior exposure to DOE workflows or national laboratory environments

Motivated self-starter with the ability to work independently and to participate creatively in collaborative and frequently interacting teams of researchers