-
systems. The Postdoctoral Appointee will contribute to the development, manufacturing, characterization, and evaluation of additively and conventionally manufactured structural alloys. The position will
-
innovation. The postdoctoral researcher will design and conduct experiments, develop slurry-based processing methodologies, support construction and operation of bench-scale systems, analyze transport and
-
inorganic materials, including chalcogenides, pnictides, halides, and intermetallic compounds. The position also involves comprehensive structural, optical, magnetic, and electrical characterization
-
-dimensional (2D) nanomaterials into structural and functional composites designed for next-generation energy technologies. The position combines fundamental materials synthesis, advanced characterization
-
PhD (within the last 0-5 years) in chemistry, physics, chemical engineering, or a closely related field A strong foundation in quantum mechanics and electronic structure theory Demonstrated expertise in
-
publications Ability to model Argonne’s core values of impact, safety, respect, integrity, and teamwork Preferred Qualifications Experience with x-ray-based techniques to probe structure and reactivity under
-
among material composition, processing, structure, and performance. The research will aim for electronic, ionic and advanced energy material system. Position Requirements Recent or soon-to-be-completed
-
platform for X-ray absorption spectroscopy by integrating LLMs, scientific machine learning, physics-aware workflows, and strong computational chemistry/electronic-structure expertise. The researcher will
-
supervisor, the successful candidate will conduct applied research on advanced battery materials using electrochemical, structural, and chemical characterization techniques. The appointee will support battery
-
models for high-temperature structural materials with applications in nuclear reactors and other energy systems. The candidate will collaborate with ANL staff to review, validate, and enhance methods