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AI/ML Accelerated Theory, Modeling and Simulatio ... (No replies)
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Overview:
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 a Postdoctoral Research Associate who will support the Nanomaterials Theory Institute (NTI), Theory and Computation Section in the Center for Nanophase Materials Sciences Division (CNMS), Physical Sciences Directorate (PSD) at Oak Ridge National Laboratory (ORNL). The Postdoctoral Research Associate will support research directed toward developing a computational approach to perform AI/ML accelerated predictive theoretical simulations that can guide nanoscale experiments to fabricate nanostructures with desired functionalities, in a directed manner, thereby enabling autonomous experimental synthesis/manipulation of functional nanomaterials. Focus will largely be in developing ML-algorithms for computational discovery of new materials with targeted functionalities that can be fabricated at the atomic-scale using automated microscopy (STM, STEM and SPM) and synthesis (PLD and MBE) techniques, based on training data obtained from predictive modeling. Predictive theoretical modeling will be achieved by combining scalable density functional theory (DFT) approaches (such as real-space DFT, DFTB), beyond-DFT approaches for solids (such as GW, DMFT, QMC), and reactive force-field methods, using advanced automated workflows and AI/ML algorithms, and incorporate experimental feedback to improve theory.
As a Postdoctoral Research Associate, you will contribute to research in these areas by bridging state-of-the-art atomistic simulation methods, as indicated above, and nanoscale experiments with domain-informed AI/ML algorithms. In addition to fundamental science discovery, the research will pursue development of automated workflows and ML-approaches that allows integration of different theory & simulation protocols along with autonomous experiments. The research is designed to provide opportunities for development of your experience and scientific vision. You will also work closely with scientists at CNMS who are experts in developing/applying different theoretical approaches as well as those developing novel ML-approaches for automation of nanoscale experimental probes, as mentioned above.
Major Duties/Responsibilities:
Basic Qualifications:
Preferred Qualifications:
Please submit three letters of reference when applying to this position. You can upload these directly to your application or have them sent to [email protected] with the position title and number referenced in the subject line.
Instructions to upload documents to your candidate profile:
Applicants cannot have received their Ph.D. more than five years prior to the date of application and must complete all degree requirements before starting their appointment. The appointment length will be for up to 24 months with the potential for extension. Initial appointments and extensions are subject to performance and the availability of funding.
Moving can be overwhelming and expensive. UT-Battelle offers a generous relocation package to ease the transition process. Domestic and international relocation assistance is available for certain positions. If invited to interview, be sure to ask your Recruiter (Talent Acquisition Partner) for details.
For more information about our benefits, working here, and living here, visit the “About” tab at jobs.ornl.gov.
This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.
We accept Word (.doc, .docx), Adobe (unsecured .pdf), Rich Text Format (.rtf), and HTML (.htm, .html) up to 5MB in size. Resumes from third party vendors will not be accepted; these resumes will be deleted and the candidates submitted will not be considered for employment.
If you have trouble applying for a position, please email [email protected].
ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.
Please go this link to apply: https://jobs.ornl.gov/job/Oak-Ridge-Postdoctoral-Research-Associate-AIML-Accelerated-Theory%2C-Modeling-and-Simulation-for-Materials-TN-37830/958552900