09 Postdoctoral Fellowship at Oak Ridge National Laboratory, United States

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.

We are seeking a Postdoctoral Research Associate who will focus on creating innovative uncertainty quantification and visualization algorithms that enable trusted visual representation and analysis of large-scale 2D/3D scientific data. This position resides in the Data Visualization Group in the Data and AI Systems Section, Computer Science and Mathematics Division, Computing and Computational Sciences Directorate, at Oak Ridge National Laboratory (ORNL). This position presents a unique opportunity to develop cutting-edge high-performance computing (HPC) and machine learning/artificial intelligence (ML/AI) techniques that incorporate uncertainty into visualizations, enhancing the efficiency and reliability of scientific discovery. It also offers exciting prospects for direct collaboration with domain experts—such as those in neutron scattering and urban science—to apply and evaluate research methods on large, domain-specific scientific datasets.

We are seeking a Postdoctoral Research Associate to help advance our understanding of quantum materials through experimental studies of bulk single crystals. This project uses crystal growth and physical property measurements to develop, understand, and control new and emerging materials. This position resides in the Correlated Electron Materials Group in the Foundational Materials Science Section, Materials Science and Technology Division, Physical Sciences Directorate, at Oak Ridge National Laboratory (ORNL).

This position provides an opportunity for excellent productivity and scientific development by exploiting our group’s large suite of crystal growth and characterization tools, as well as extensive collaboration and local scientific and technical expertise.

Oak Ridge National Laboratory is seeking a Postdoctoral Research Associate who will focus on material property testing, analysis, and modeling of reactor isotope production target materials. This involves the development of experimental plans to examine material properties such as thermal diffusivity, thermal conductivity, and thermal expansion – material properties critical to understanding target behavior during irradiation in the High Flux Isotope Reactor (HFIR). This could also involve development, validation, and deployment of new physical and analytical testing methods towards improving our understanding of unique target materials. You will be working with scientists, engineers, technicians, and safety and quality assurance staff to support material testing and fabrication efforts that advance HFIR isotope production targets. We are seeking a person who can be a team player with excellent attention to detail, critical thinking ability, and strong communication skills.

We are seeking an Associate Research Scientist who will focus on elucidating microstructure-property relationships in materials using atom probe tomography (APT). This position resides in the electron Microscopy and MicroAnalysis (eMMA) Group in the Center for Nanophase Materials Sciences (CNMS), Physical Sciences Directorate at Oak Ridge National Laboratory (ORNL).  Your work will focus on supporting new collaborations with external CNMS users who access the APT facilities while also fostering close collaborations with researchers from many groups across ORNL to support established new programs that leverage APT for materials science and beyond. 

As part of our research team, you will support the APT research efforts and facilities within the CNMS. You will be responsible for performing microstructural characterization and expanding the utility of APT to explore non-traditional materials such as liquid-solid interfaces, soft matter, catalysts, semi- and non-conductors, oxide heterostructures, etc. In the traditional sense, you will be responsible for understanding basic microstructure, such as identifying the phase, phase distribution, precipitate volume fractions, composition profiles, etc., and linking these observations to mechanical and oxidation properties, correlating microstructural evolution to mechanical properties during processing, and microstructural evolution after long-term creep and oxidation/environmental exposures. To maintain leadership in atom probe research, CNMS recently acquired a Cameca local electrode atom probe (LEAP) model 6000XR and two new focused ion beam (FIB) instruments dedicated to preparing APT specimens – a conventional Ga+ FIB and a cryogenic plasma FIB (cryo-PFIB) – to enable the study of non-metallic specimens via APT, which will keep CNMS at the forefront of APT and enable you to conduct cutting-edge materials research across a much broader range of materials systems. 

The Oak Ridge National Laboratory (ORNL) seeks early and mid-career researchers experienced in all areas of research related to artificial intelligence and machine learning including reinforcement learning, nature inspired algorithms, deep learning, agent based modeling, and natural language processing.   We are specifically interested in research focused on the development of new algorithms and methods that can be used to analyze large and complex scientific data using novel computer architectures such as high performance, neuromorphic, and quantum computing.

We are a community of top researchers who are ready to tackle the hardest problems faced by the country and the world, such as the development of advanced materials, clean energy, national security, and supercomputing.  ORNL is an open science laboratory, where research staff are expected to participate in and demonstrate leadership in the international research community.

As a research staff member, you will have the opportunity to help solve some of the most challenging problems this country faces. You will perform ground breaking research on a wide range of significant problems with the fastest computing platforms in the world. This position requires novel thinking, teamwork, and discovery in finding new approaches for analyzing massive and complex data, collaborating with worldwide experts, and publishing ground breaking results.

The Multiscale Biomedical Systems group in the Advanced Computing in Health (ACH) section in Computational Sciences and Engineering Division (CSED), Computing and Computational Sciences Directorate (CCSD) at Oak Ridge National Laboratory (ORNL) is seeking a Postdoctoral Research Associate who will support the areas of multimodal imaging, AI architecture, and efficient computing AI on High-Performance Computing (HPC) cluster. Examples on areas of research interest include but are not limited to:

• Vision transformers.
• AI foundation models.
• Computing and energy-efficient training algorithms and AI architecture.
• Image reconstruction, segmentation, and classification.
• High performance computing for spatiotemporal data.

The Nuclear and Extreme Environments Measurements (NEEM) Group within the Fuel Development Section (FDS), Nuclear Energy and Fuel Cycle Division (NEFCD), Fusion and Fission Energy and Science Directorate, Oak Ridge National Laboratory (ORNL), seeks applicants for a post-doctoral position with emphasis in experimental and theoretical molten salt characterization. The NEEM group fabricates and qualifies experiments for reactor components, systems, and materials. This group focuses on the development of extreme environment experiments impacting technology maturation, characterizing performance and properties of nuclear fuels and materials, and generate the data to advance physical modeling and simulation.

The primary function of this open position is to perform and optimize molten salt thermophysical property measurements, develop and utilize theoretical models and frameworks to predict salt properties, molten salt thermophysical property database expansion and development, and dissemination of data and findings at conference presentations and through reports and journal publications.