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Requisition Id 12741 Overview: We are seeking a Postdoctoral Research Associate in physical chemistry and spectroscopy who will support the Nanomaterials Chemistry Group in the Chemical Sciences
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Senior R&D Staff - Physics-informed Machine Learning Scientist for Autonomous Self-driving Laborator
Requisition Id 12780 Overview: We are seeking a Machine Learning Scientist who will focus on research and development of new physics-informed machine learning algorithms, as well as writing and
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of new physics-informed machine learning algorithms, as well as writing and developing research proposals, and working with staff, visiting scientists, and facility users. This position resides in
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chemical process simulation software (Aspen Plus, CHEMCAD, etc.) and life cycle and sustainability assessment software (SimaPro or OpenLCA) will all be considered favorably. Direct experience modeling semi
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with expertise in the physical metallurgy of ferrous alloys. The candidate is expected to join a research team that is focusing on advanced ferrous alloys for a wide variety of high temperature and
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solutions to compelling problems in energy and security. We are seeking a Cyber-Physical Researcher who will support the Resilient Cyber-Physical Systems Section in the National Security Sciences Directorate
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to accelerate scientific discoveries and their translation into energy, environment, and security solutions for the nation. The Computational Coupled Physics (CCP) Group within the Computational Sciences and
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process development for advanced manufacturing of near net shape parts from powder feedstock (e.g., binder jet additive manufacturing (AM), powder metallurgy hot isostatic pressing (PM-HIP), etc.). A
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accelerator-based neutron source. Together these facilities operate 30 instruments for neutron scattering research, each year carrying out in excess of 1,000 experiments in the physical, chemical, materials
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manufacturing (AM) Design components for new robotic AM systems Integration of sensors and components Testing and verification of new systems Support efforts to improve the AM process efficiency with focus