18 optimization-nonlinear-functions Postdoctoral positions at Argonne in material-science
-
camera technology and multiplexed readout systems for quantum information science applications. In this role, you will join a multidisciplinary team spanning several Argonne divisions and contribute
-
separations in controlled environments such as radiological hoods, gloveboxes, and hot cells Design, assemble, operate, troubleshoot, test, and optimize experimental systems and specialized apparatus, including
-
interdisciplinary team, the candidate will work closely with both the Q-NEXT Argonne Quantum Foundry along with the Quantum Metamaterials group within the Materials Science Division at Argonne National Laboratory
-
-dimensional (2D) nanomaterials into structural and functional composites designed for next-generation energy technologies. The position combines fundamental materials synthesis, advanced characterization
-
learning, or optimization Strong programming skills in Python and experience with scientific computing and machine-learning libraries Ability to work across experimental, robotic, and computational systems
-
, primarily for recycling used nuclear fuel to support the deployment of advanced reactors. The selected candidate will develop and optimize novel separations chemistries to recover actinide and rare earth
-
discovery and synthesis. We are seeking a creative and collaborative researcher who is excited by the opportunity to help shape the future of autonomous synthesis and self-driving laboratories. This role is
-
emphasize processing–microstructure–property-performance relationships under temperature, irradiation, corrosion, mechanical stress conditions. The successful candidate will integrate additive manufacturing
-
of hydrometallurgical processes such as leaching, solvent (liquid-liquid) extraction, and adsorption; evaluating process performance and operability; developing test plans and standard operating procedures; assisting
-
on the discovery and study of new quantum materials, with a primary emphasis on superconductors. The successful candidate will play a key role in the exploratory synthesis and crystal growth of novel solid-state