Postdoctoral Research Associate - Theory-in-the-loop of Autonomous Experiments for Materials-by-Desi jobs in United States
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Oak Ridge National Laboratory · 1 day ago

Postdoctoral Research Associate - Theory-in-the-loop of Autonomous Experiments for Materials-by-Desi

Oak Ridge National Laboratory is the largest US Department of Energy science and energy laboratory, conducting basic and applied research to deliver transformative solutions to compelling problems in energy and security. We are seeking an outstanding Postdoctoral Research Associate with a strong background in condensed-matter physics and materials science to develop advanced AI/ML methods for accelerating materials discovery.

Advanced MaterialsClean EnergyEnergyEnergy ManagementManufacturingNuclearRenewable Energy
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H1B Sponsor Likelynote

Responsibilities

Work closely with members of NTI and CNMS to develop HPC workflows that can perform multi-fidelity simulations to predict and interpret a wide range of structural and electronic characterization techniques
Develop physics-informed AI/ML surrogate models for inverse design of new materials and processes, incorporating simulated and experimental multi-modal datasets
Develop AI/ML approaches to bridge length- and time-scales in simulations
Design, develop, and validate physics-informed AI/ML models with features from electronic structure, spectroscopy to control materials growth and emerging functionalities
Develop and train agentic AI tools that can control simulation and/or experiments
Present and report research results and publish in peer-reviewed journals in a timely manner
Ensure compliance with environment, safety, health, and quality program requirements
Maintain a strong commitment to the implementation and perpetuation of values and ethics
Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service

Qualification

Condensed Matter PhysicsMaterials ScienceMultiscale Simulation TechniquesMachine LearningHigh-Performance ComputingAI/ML MethodsTeam CollaborationIndependent WorkCreative Problem Solving

Required

A PhD in Condensed Matter Physics, Materials Science, Chemistry, Physics, or a closely related science discipline completed within the last five years

Preferred

A demonstrated record of developing advanced physics-informed AI models for scientific discovery
Hands-on expertise developing and applying machine learning for materials and/or process discovery, particularly quantum and/or microelectronic materials
Expertise in using or developing agentic tools for automation of scientific discovery
Expertise in using high-performance computing (HPC) platforms for delivering breakthrough scientific results
A record of productive and creative research proven by publications in peer-reviewed journals and/or conference presentations
The abilities to be a self-starter, to work independently, and to participate creatively in a collaborative team effort
Proven ability to function well in a dynamic research environment, set priorities, multi-task and adapt to ever changing needs

Benefits

Prescription Drug Plan
Dental Plan
Vision Plan
401(k) Retirement Plan
Contributory Pension Plan
Life Insurance
Disability Benefits
Generous Vacation and Holidays
Parental Leave
Legal Insurance with Identity Theft Protection
Employee Assistance Plan
Flexible Spending Accounts
Health Savings Accounts
Wellness Programs
Educational Assistance
Relocation Assistance
Employee Discounts

Company

Oak Ridge National Laboratory

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Oak Ridge National Laboratory holds a range of R&D assignments, from fundamental nuclear physics to applied R&D on advanced energy systems.

H1B Sponsorship

Oak Ridge National Laboratory has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (268)
2024 (276)
2023 (223)
2022 (228)
2021 (192)
2020 (152)

Funding

Current Stage
Late Stage
Total Funding
$9.8M
Key Investors
US Department of Energy
2023-09-21Grant· $4.8M
2023-07-27Grant
2022-03-14Grant· $5M

Leadership Team

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Arjun Shankar
Division Director, National Center for Computational Sciences, Oak Ridge National Laboratory
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Brett Ellis
Division Director - Research Computing Support
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