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Oak Ridge National Laboratory · 9 hours ago

Postdoctoral Research Associate- AI/ML Accelerated Theory Modeling & Simulation for Microelectronics

Oak Ridge, TN

Full-time

Onsite

New Grad, Entry Level

Oak Ridge National Laboratory is seeking a Postdoctoral Research Associate to support research in developing AI/ML algorithms for microelectronics. The role focuses on collaborating with theorists and experimentalists to enhance understanding of nanomaterials and developing automated workflows for integrating simulation and experimental data.

Advanced MaterialsClean EnergyEnergyEnergy ManagementManufacturingNuclearRenewable Energy

No H1B

U.S. Citizen Only

Responsibilities

Develop and validate AI/ML models that can be used for knowledge extraction (e.g. discovery of governing equations; correlative analysis across length/time-scales etc.) from multi-scale simulations and multi-modal experiments

Perform data fusion using novel AI/ML approaches to seamlessly transfer information from simulations and experiments into data ingestion pipelines for model refinement

Perform multi-scale simulations (e.g. DFT / atomistic / phase-field simulations) to train AI/ML models

Conduct scientific research on ferroelectrics and/or 2D memristive materials

Create and maintain datasets in databases on in-house data storage resources working closely with ORNL’s workflow and data management scientists

Meaningfully collaborate with experimental groups involved in the project

Report and publish scientific results in peer-reviewed journals in a timely manner

Present results at international scientific conferences and meetings

Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success

Qualification

AI/ML algorithmsMulti-scale simulationsMaterials simulation methodsPython programmingSolid-state physicsData fusion techniquesOral communicationWritten communicationTeam collaborationSelf-motivation

Required

A PhD in Physics, Materials Science, Chemistry, or closely related field completed within the last 5 years

Sound understanding of advanced ML concepts and architectures and hands-on experience with open-source AI/ML packages (such as pytorch, scikit-learn, tensorflow, JAX etc.)

Preferred

Good grasp of concepts in solid-state physics, ferroelectrics and/or 2D materials

Strong background in developing and/or applying materials simulation methods, such as atomistic simulations using electronic-structure and/or machine-learning interatomic potentials (MLIPs) and phase field modeling, particularly related to materials for next-generation microelectronics (e.g. oxide ferroelectrics, 2D materials and related systems)

Strong familiarity with AI/ML algorithms, for generative materials design, or for knowledge extraction, e.g. causal ML or symbolic regression, etc

Strong demonstrated background in coding for data analysis using Python, Julia etc. with knowledge or keen interest to develop and meaningfully incorporate advanced AI/ML algorithms to advance their research

Experience creating and/or working with computational databases using automated workflows

An excellent record of productive and creative research shown by a record of publications in peer-reviewed journals

Excellent written and oral communication skills

Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across the laboratory

Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing needs