Oak Ridge National Laboratory
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Postdoctoral Research Associate in Generative AI, LLMs, and AI for Laboratory Operations Oak Ridge National Laboratory in United States
Degree Level
Postdoc
Field of study
Computer Science
Funding
This is a full-time, salaried postdoctoral research appointment with competitive pay and employee benefits. Benefits include medical, retirement and pension plans, prescription, dental and vision coverage, life and disability insurance, vacation and holidays, parental leave, educational assistance, relocation assistance, and other programs. The appointment may last up to 24 months, with possible extension subject to performance and funding availability. No specific salary or stipend amount is st
Country
United States
University
Oak Ridge National Laboratory
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About this position
Oak Ridge National Laboratory (ORNL), United States, is seeking a full-time Postdoctoral Research Associate in the Learning Systems Group within the Computer Science and Mathematics Division. The project focuses on Generative AI, large language models (LLMs), multi-agent systems, and human-in-the-loop AI for laboratory operations and safety.
The researcher will develop and evaluate generative AI architectures, agentic workflows, instruction-tuned LLMs, and retrieval-augmented generation (RAG) systems for operational safety. Research applications include automated hazard identification, incident trend analysis, predictive maintenance, risk scoring, safety compliance, proactive risk mitigation, and decision support for human operators in high-consequence environments. The role includes collaboration with computer scientists, machine-learning researchers, software developers, safety experts, and laboratory operations teams.
Responsibilities include building scalable AI operations tools, developing explainable and trustworthy AI validation frameworks, deploying ML pipelines on GPU resources, publishing in AI/ML and safety-engineering venues, contributing to proposals, and potentially releasing open-source tools.
Applicants need a Ph.D. in Computer Science, AI/ML, Electrical or Computer Engineering, Applied Mathematics, or a related field. Candidates expecting to complete their Ph.D. by the end of 2026 may also apply. Strong Python, machine learning, deep learning, generative AI, LLM fine-tuning, multi-agent AI, and relevant software engineering experience are required. The Ph.D. must have been awarded within five years of application, and three recommendation letters are required.
The appointment is available for up to 24 months, with possible extension subject to performance and funding. ORNL provides competitive pay and extensive employee benefits. Applicants must be able to obtain the required HSPD-12 PIV credential or applicable site-specific clearance determination. Applications should be submitted through the ORNL jobs portal under requisition 17380.
Funding details
This is a full-time, salaried postdoctoral research appointment with competitive pay and employee benefits. Benefits include medical, retirement and pension plans, prescription, dental and vision coverage, life and disability insurance, vacation and holidays, parental leave, educational assistance, relocation assistance, and other programs. The appointment may last up to 24 months, with possible extension subject to performance and funding availability. No specific salary or stipend amount is st
What's required
Applicants must hold a Ph.D. in Computer Science, Artificial Intelligence/Machine Learning, Electrical or Computer Engineering, Applied Mathematics, or a closely related discipline; candidates completing all Ph.D. requirements by the end of 2026 may apply. Applicants must have a strong research background in machine learning and deep learning, practical experience with generative AI, multi-agent AI systems, LLM fine-tuning, and AI tools for operational or text-heavy applications, strong Python skills, and proficiency with tools such as PyTorch, TensorFlow, Hugging Face, LangChain or LlamaIndex, scikit-learn, and pandas. A record of peer-reviewed publications in AI/ML/NLP venues or complex-domain technical tool development and strong communication skills is required. Preferred qualifications include experience with multi-agent orchestration, vector databases, enterprise RAG, functional safety, hazard identification, risk mitigation, RLHF, GPU clusters, containerized ML pipelines, open-source AI tools, operations teams, national laboratories, industry or academia, and LaTeX. The Ph.D. must have been awarded no more than five years before application, all degree requirements must be completed before the appointment begins, and the candidate must be able to obtain and maintain an HSPD-12 PIV badge or applicable LSSO determination. Three recommendation letters are required.
How to apply
Apply through the ORNL jobs portal using requisition ID 17380 and the direct application link. Upload your application documents through your candidate profile and submit three reference letters with the position title and number to [email protected], or upload them directly.
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ApplyKite TwinLearns as you applyMake your next move.
Prepare your application
Review drafts and confirm requirements with the university.