Sort by
Refine Your Search
-
Requisition Id 16975 Overview: Oak Ridge National Laboratory (ORNL) is seeking a Research Scientist to agentic workflow orchestration and cross-facility integration in support of the Genesis Mission
-
for Computational Sciences (NCCS). The group creates and deploys workflow, data, and AI-agent technologies that connect leadership-class computing with experimental and observational science. Its primary goal is to
-
, qualification, and deployment of AI agents and models, Computational Fluid Dynamics (CFD) simulation codes, and Finite Element Method (FEM) based tools for nuclear energy (fission and fusion) applications
-
mechanisms of metal-based structural materials at ambient/elevated temperatures Property evaluation in tensile, toughness, fatigue, creep, or creep-fatigue of metal-based structural materials Detailed
-
, NERSC) to align interfaces and standards, and establish ORNL/OLCF as a foundational compute and data hub within the emerging national science infrastructure. Agentic Workflow Design and Autonomous Control
-
into scientific impact. Examples of Focus Areas: Agentic AI for Science: Autonomous and tool-using agents for experiment design, simulation steering, data collection, and lab/compute orchestration; planning 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
-
providing relevant metrics, logs, performance trends, and historical analysis. Work with vendors and internal subject matter experts to troubleshoot monitoring agents, collectors, integrations, and platform
-
/Responsibilities: Prepare and file all formal papers for patent applications written within ORNL. Docket all actions for all ORNL patent applications. Work closely with all patent agents to assist when necessary and
-
such as quantum and analog computational models. You will explore how compilers, runtimes, and AI-driven agents can co-optimize complex architectures, reasoning across conventional processors (CPUs/GPUs