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The Nuclear Science and Engineering Division at Argonne National Laboratory seeks a Postdoctoral Appointee to conduct R&D on metallic materials for extreme environments relevant to nuclear energy
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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
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to contribute to both the scientific and technical aspects of the ATLAS program in a highly collaborative research environment. Position Requirements Recent or soon-to-be-completed PhD (within the last 0-5 years
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The High Energy Physics (HEP) Division, in collaboration with the Materials Science Division (MSD) and Q-NEXT at Argonne National Laboratory, seeks a postdoctoral researcher to focus on applied
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to a collaborative, multidisciplinary research program focused on the chemical recycling of polymers and organometallic catalysis. You will work alongside scientists with diverse expertise to design
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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
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design and conduct experiments, interpret results, analyze data, and communicate findings through presentations at scientific conferences and publications in peer-reviewed journals. Key Responsibilities
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completed within the last 0-5 years)in chemical engineering, materials science, industrial engineering, or related fields. Knowledge of Python, JavaScript, Microsoft Excel and other computer programming
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, composite processing, and manufacturing science to establish structure-processing-property relationships that enable high-performance multifunctional materials. The candidate will work closely with scientists
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developing advanced AI/ML models for applications in physics, chemistry, or materials science Experience with periodic simulation codes such as VASP Proficiency in Python programming Excellent written and oral