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. The Pacific Northwest National Laboratory (PNNL) and the Physical and Computational Sciences Directorate seek outstanding candidates for Ph.D. Intern positions working on materials synthesis, separations, processing and characterization. Synthesis and processing will be focused on using both dry and wet chemical processing targeting synthesis, selective precipitation or separations with their autonomous operation. The candidate should have knowledge and experience in synthesis and characterization of functional materials using different physical and chemical methods as well as their characterization using microscopy, diffraction, and spectroscopy techniques. Experience in automation and data analytics and its application in separation, extraction or synthesis is preferred. Programming and design skills are strongly desired. The candidate is expected to perform experiments and analyze data, participate in manuscript preparation for publication. The candidate is also expected to engage in collaboration activities with team members from the Physical Sciences Division.
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Career Level
Intern
Education Level
Ph.D. or professional degree