At PNNL, our core capabilities are divided among major departments that we refer to as Directorates within the Lab, focused on a specific area of scientific research or other function, with its own leadership team and dedicated budget. Our Science & Technology directorates include National Security, Earth and Biological Sciences, Physical and Computational Sciences, and Energy and Environment. In addition, we have an Environmental Molecular Sciences Laboratory, a Department of Energy, Office of Science user facility housed on the PNNL campus. The Physical and Computational Sciences Directorate's (PCSD’s) strengths in experimental, computational, and theoretical chemistry and materials science, together with our advanced computing, applied mathematics and data science capabilities, are central to the discovery mission we embrace at PNNL. But our most important resource is our people—experts across the range of scientific disciplines who team together to take on the biggest scientific challenges of our time. The Physical Sciences Division stewards discovery science research portfolios including catalysis, materials science, separations, analytical chemistry, geosciences, and chemical physics. Our research strives to refine our molecular-level understanding of multiphase systems and phenomena including complex interfaces. We discover and apply new knowledge to address major national priorities and needs in energy sustainability through the development of new energy storage technologies and the creation of high-value fuels and materials from abundant wastes. As a Post Doctorate Research Associate in the Materials Sciences group, you will join a talented, multi-investigator team performing experimental research to explore the formation and assembly dynamics of nanoparticles and hybrid and macromolecular systems using in-situ transmission electron microscopy (TEM). Our team has built novel in-situ imaging capabilities including TEM and SEM and you will be mentored by prominent senior researchers in the field. This research requires close collaboration with computational materials scientists, and you will be closely working with them to design and synthesize materials. The results from these measurements should be correlated to the predictions of simulations to develop a fundamental understanding of material properties.
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Job Type
Full-time
Career Level
Entry Level
Education Level
Ph.D. or professional degree
Number of Employees
1,001-5,000 employees