20 Postdoctoral Fellowship at Oak Ridge National Laboratory, United States

Oak Ridge National Laboratory (ORNL) is the largest US Department of Energy (DOE) science and energy laboratory, conducting basic and applied research to deliver transformative solutions to compelling problems in energy and security. Within ORNL, the Building Envelope Materials Research (BEMR) Group develops and deploys affordable building envelopes for new construction and retrofits to enable DOE’s goals. Our synergistic research areas include building science, material and system development, and advanced construction. With the support from the U.S. DOE Building Technologies Office, we have the most extensive building envelope research portfolio in the nation. We are seeking to add to our team an energetic and creative postdoctoral research associate.

As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation’s most pressing challenges. Our team is made up of over 7,000 dedicated and innovative individuals! Our goal is to create an environment where a variety of perspectives and backgrounds are valued, ensuring ORNL is known as a top choice for employment. These principles are essential for supporting our broader mission to drive scientific breakthroughs and translate them into solutions for energy, environmental, and security challenges facing the nation. We are seeking a Postdoctoral Research Associate who will reside in the Materials Engineering Group in the Neutron Scattering Division (NSD), Neutron Sciences Directorate (NScD) at Oak Ridge National Laboratory (ORNL).

This project will be focusing on the development of advanced Artificial Intelligence (AI)/Machine Learning (ML) tools for the measurements of 3D tensorial strain in crystalline materials using neutrons at the Spallation Neutron Source VENUS beamline (https://neutrons.ornl.gov/venus). VENUS is nearing completion of its construction and will start commissioning in July 2024. One of the unique time-of-flight imaging capabilities enabled at VENUS is Bragg edge radiography. The measurement of the Bragg edge shift provides information of a lattice plane shift through a sample. This project aims at enabling the 3D reconstruction of the tensorial strain values in 3D using Bragg edge tomography.

Utilizing an advanced neutron imaging technique, neutron grating interferometry (nGI), to study nano-sized features in bulk materials at MARS (https://neutrons.ornl.gov/mars). By participating and contributing to this project, you will gain experience and knowledge in neutron imaging instrumentation and apply these in advancing nGI for material science research through novel instrumentation and computational methods. Then you will be applying nGI in addressing critical scientific questions in material science research. In this project, you will also have the opportunity to access other world class neutron scattering capabilities that would benefit this project and your own growth.

As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation’s most pressing challenges. Our team is made up of over 7,000 dedicated and innovative individuals! Our goal is to create an environment where a variety of perspectives and backgrounds are valued, ensuring ORNL is known as a top choice for employment. These principles are essential for supporting our broader mission to drive scientific breakthroughs and translate them into solutions for energy, environmental, and security challenges facing the nation.

We are seeking a Postdoctoral Research Associate who will support the Materials and Composites Processing Group in the Materials Science and Technology Division, Physical Sciences Directorate at Oak Ridge National Laboratory (ORNL).  

We are seeking a postdoctoral research associate who will study the dynamics of low-energy, high-charge ion beams. This project will use the Spallation Neutron Source (SNS) Beam Test Facility, a front-end replica with advanced diagnostics. This position resides in the Accelerator Physics Group in the Accelerator Science and Technology Section, Research Accelerator Division, Neutron Sciences Directorate at Oak Ridge National Laboratory (ORNL).  

You will be part of a dynamic team working on multiple aspects of this problem. You will have a chance to learn about specialized diagnostics, particularly for high dynamic range and high dimensional measurement of particle beam distributions. This project is motivated by the limitation presented by uncontrolled beam loss to the performance of high-power accelerators such as the Spallation Neutron Source (SNS). The goal of this work is to demonstrate predictive modeling of beam distributions in a realistic accelerator, and as such includes an emphasis on computation modeling. 

As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation’s most pressing challenges. Our team is made up of over 7,000 dedicated and innovative individuals! Our goal is to create an environment where a variety of perspectives and backgrounds are valued, ensuring ORNL is known as a top choice for employment. These principles are essential for supporting our broader mission to drive scientific breakthroughs and translate them into solutions for energy, environmental, and security challenges facing the nation.

Oak Ridge National Laboratory (ORNL) is the largest US Department of Energy science and energy laboratory, conducting basic and applied research to deliver solutions to compelling problems in energy and security. The Biosciences Division of ORNL has an opening for a postdoctoral researcher to conduct research on plant-microbe interactions and abiotic stress tolerance mechanisms as part of the Plant-Microbe Interfaces (PMI) Scientific Focus Area project (https://pmiweb.ornl.gov/).

The Plant Systems Biology Group investigates how plant and microbial genes, proteins, metabolites and plant traits interact to influence plant-microbe interactions and stress responses. The selected candidate will join a collaborative team investigating microbial-mediated plant pathways that modulate abiotic stress tolerance in Populus. The project involves integrating automated phenotyping approaches with molecular analyses to understand plant-microbe interactions under stress conditions.

We are seeking a Postdoctoral Research Associate who will focus on delivering groundbreaking computational chemical and materials science at the forefront of the field through the development and use of machine learning, deep learning, and high-performance computing (HPC). This position resides in the Chemical Separations Group in the Separations and Polymer Section, Chemical Sciences Division, Physical Sciences Directorate, at Oak Ridge National Laboratory (ORNL).

In this role, you will perform computational studies using machine learning tools aimed at better understanding of ligand binding in solution and molten salts chemistry. Computational methods will primarily involve density functional theory calculations for molecular and periodic systems, molecular dynamics simulations using ab initio and machine-learning potentials, and the development or application of machine-learning tools for feature extraction, property prediction, and inverse molecular design. You will also work within a multidisciplinary multi-institutional team involving specialists in theory, spectroscopy, organic synthesis, and surface characterization.

We are seeking a Postdoctoral Research Associate who will develop and apply computational methods based on electronic structure theory approaches, as well as artificial intelligence and machine learning techniques (AI/ML) with emphasis on electronic properties (charge and spin) of a range of materials important to the DOE mission, including the materials classes described below. Research efforts will include application of density functional theory (e.g. QE, VASP, WIEN2K) and post-processing packages (e.g. ShengBTE, phono3py, Wannier90) packages to describe various properties of DOE-relevant materials.

The Materials Theory Group has a background in using first principles methods to examine magnetic properties of advanced materials, electronic and thermal transport, thermoelectrics, functional oxides, defects and disorder, and weakly bonded materials. The incumbent will have opportunities to develop research methodologies as well as collaborate with experimental groups at Oak Ridge National Laboratory (ORNL).  This position resides in the Materials Theory Group in the Materials Science and Technology Division (MSTD), Physical Sciences Directorate (PSD) at Oak Ridge National Laboratory (ORNL).

The Data and AI Systems Research Section/Workflow systems Group within the Computer Science and Mathematics Division at Oak Ridge National Laboratory (ORNL) is seeking a postdoctoral researcher with expertise in distributed intelligence, reasoning models, LLMs, workflow management, and distributed systems to contribute to the development of advanced decentralized intelligence techniques for scientific workflows deployed across heterogeneous computing resources. As a postdoctoral fellow at ORNL, you will join a dynamic team of researchers specializing in workflow management machine learning, distributed computing, and resource optimization leveraging the unique computational resources available at ORNL, including the Frontier supercomputer—the world’s first exascale system.

In this role, you will collaborate with leading scientists to design and implement distributed intelligence solutions tailored for large-scale scientific workflows in DOE environments. Your work will be pivotal in advancing the state of the art in resilient infrastructure by developing more efficient and adaptive techniques that maintain robust performance guarantees while optimizing resource utilization across the computing continuum. Additionally, you will investigate innovative approaches to optimize the balance between performance and resilience, considering the complexities of heterogeneous resources and varying workflow requirements across diverse scientific applications.

The successful candidate will have the opportunity to use the computational power of the Frontier supercomputer to scale and validate these distributed intelligence algorithms, enabling breakthroughs in scientific research across DOE domains. The candidate will collaborate with DOE’s SWARM project (https://swarm-workflows.org/) members to advance robust, performant, and fault-tolerant execution of DOE scientific workflows. This position offers a unique opportunity to make significant contributions to both theoretical and applied aspects of distributed intelligence, driving advancements in resilient, adaptive AI systems on a global scale.

As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation’s most pressing challenges. Our team is made up of over 7,000 dedicated and innovative individuals! Our goal is to create an environment where a variety of perspectives and backgrounds are valued, ensuring ORNL is known as a top choice for employment. These principles are essential for supporting our broader mission to drive scientific breakthroughs and translate them into solutions for energy, environmental, and security challenges facing the nation.

We are seeking a Postdoctoral Research Associate who will focus on the physics of correlated and topological quantum materials. This position resides in the Quantum Heterostructures Group in the Foundational Materials Science Section, Materials Science and Technology Division, Physical Sciences Directorate at Oak Ridge National Laboratory (ORNL).  

As part of our research team, you will work in a highly collaborative environment with a broad spectrum of expertise, including epitaxial synthesis, quantum transport, angle-resolved photoemission spectroscopy (ARPES), neutron/x-ray scattering, and spectroscopy. You will perform cutting-edge research on correlated and topological quantum materials.

We are seeking a Postdoctoral Research Associate who will support the Chemical and Isotopic Mass Spectrometry

Group in the Chemical Sciences Division (CSD), Physical Sciences Directorate (PSD) at Oak Ridge National Laboratory (ORNL).

As a Postdoctoral Research Associate, will focus on R&D in analytical chemistry to develop and advance analytical capabilities and methodologies to support the characterization of nuclear materials associated with the nuclear fuels cycle, nuclear non-proliferation and safeguards, nuclear forensics, production of isotopes, and various application spaces. The research will focus on detailed trace element and isotopic characterizations via inorganic mass spectrometry and using a variety of elemental and isotopic approaches.

As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation’s most pressing challenges. Our team is made up of over 7,000 dedicated and innovative individuals! Our goal is to create an environment where a variety of perspectives and backgrounds are valued, ensuring ORNL is known as a top choice for employment. These principles are essential for supporting our broader mission to drive scientific breakthroughs and translate them into solutions for energy, environmental, and security challenges facing the nation.

We are seeking a Postdoctoral Research Associate who will contribute to the development of modeling framework and support process development for advanced manufacturing (AM) processes. This position resides in the Computational Sciences and Engineering Division (CSED) at Oak Ridge National Laboratory (ORNL). CSED focuses on transdisciplinary computational science and analytics at scale to enable scientific discovery across the physical sciences, engineered systems, and biomedicine and health. It provides foundations and advances in quantum information sciences to enable quantum computers, devices, and networked systems. It develops community applications, data assets, and technologies and provides assurance to build knowledge and impact in novel, crosscut-science outcomes.

The candidate will be a postdoctoral researcher within the Multiscale Materials (MsM) group for Physical Sciences Section in CSED. The MsM group is focused on delivering multiscale, multi-fidelity computational models and systems using algorithms and analytics for materials and related physical sciences for a broad range of energy, transportation, and advanced manufacturing applications.

We are seeking a Postdoctoral Research Associate who will support the Manufacturing Energy Efficiency Research & Analysis (MEERA) Group in the Manufacturing Science Division (MSD), Energy Science and Technology Directorate (ESTD) at Oak Ridge National Laboratory (ORNL) to work in the areas of life cycle energy impacts analysis, technoeconomic analysis, and industrial energy efficiency analysis research under the Strategic Analysis and Industrial Energy Efficiency Programs.

The MEERA Group conducts techno-economic, value chain, trade, patent, and global analyses relevant to advanced energy and manufacturing technologies. MEERA is currently supporting a multi-laboratory DOE Geothermal Technologies Office (GTO) project to develop an independent, objective, and publicly available geothermal well life cycle assessment analysis. This project will conduct research into alternative geothermal well designs that can improve the life cycle value of geothermal wells, reduce costs, improve productivity, and mitigate risks. The project builds upon previous MEERA work focusing on casing and cementing activities that identified the cost of casing, cement and cement additives, and annulus area as key variables in reducing total drilling cost. This project expands the analysis to other aspects of geothermal well development including well completion, production, and abandonment phases.

(18) Postdoctoral Fellowship Position

Postdoc Fellowship Position summary/title: Postdoctoral Research Associate – Integrated Photonics

Deadline : Open Until Filled

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We are seeking a Postdoctoral Research Associate who will focus on the synthesis of quantum materials aimed at understanding their novel properties. This will be a highly collaborative position residing in the Quantum Heterostructures Group in the Materials Science and Technology Division (MSTD), Physical Sciences Directorate (PSD) at Oak Ridge National Laboratory (ORNL).

As part of our research team led by Dr. Matthew Brahlek and Dr. Rob Moore, you will focus on the growth of thin film and heterostructure quantum materials utilizing molecular beam epitaxy, and probing the crystalline, electronic, and magnetic properties. Your emphasis will be on the development and characterization of new material platforms to understand and control emergent phenomena in heterostructures of strongly correlated phases, Dirac materials, Weyl semimetals, topological insulators, etc. This will include preforming characterization in a unique state of the art laboratory to study the structure, electronic structure, and magnetic state. In addition, you will have access to state-of-the-art facilities at the Center for Nanophase Material Science (CNMS), and the Spallation Neutron Source (SNS), both DOE user facilities onsite at Oak Ridge National Laboratory.

Oak Ridge National Laboratory is the largest US Department of Energy (DOE) 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 primarily support the Particle Fuel Forms (PFF) Group in the Nuclear Fuel Development (NFD) Section within the Nuclear Energy and Fuel Cycle Division.

The PFF Group is a global leader in coated particle fuel research for advanced reactors (e.g., tristructural isotropic (TRISO) coated particle fuel) and emerging nuclear technologies (e.g., space nuclear propulsion). The PFF group supports activities related to both fabrication and post-irradiation examination of coated particle fuel and fuel forms. This position would support anisotropy and microstructural characterization of nuclear fuel materials to establish a link between nuclear fuel materials properties and performance. A focus will be on the use of novel ellipsometry techniques to characterize pyrocarbon and graphite-based materials. Analysis will be used to support larger irradiation efforts and interpretation of new fuel development. The successful candidate will strongly collaborate with staff within the PFF and the Nuclear Fuel Development section.