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that include traditionally underrepresented groups. This position has a high level of interaction with an international and multicultural scientific community. Essential Duties and Responsibilities: Design field
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materials for the next generation of microelectronics and quantum information science and technology. Position Description: We are looking for a Postdoctoral Research Associatefor a 1-year term , to grow high
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scientific facilities: The CFN conducts research on nanomaterial synthesis by assembly designing precise architectures with targeted functionality by organizing nanoscale components. The CFN researches and
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based on two first-of-their-kind NION scanning transmission electron microscopes. In this postdoc position, you will be a member of the Electron Microscopy group and be mentored by scientists at CFN
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for scientific and security applications; (ii) ML model optimization for inference speed and deployment for real-time analysis; and (iii) AI model training for analog in-memory computing. The position provides
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at the Computational Science Initiative (CSI), within the Brookhaven National Laboratory. The selected candidate will collaborate on solving inverse problem, relevant for interference lithography process, by deploying
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be overseen by Professor Yimei Zhu and emphasizes strong collaborations within the DOE-EFRC — “Quantum Materials for Energy Efficient for Neuromorphic Computing.” The position is ideal for candidates
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supporting end-users of applied ML methods including interpretability/explainability (XAI), and reliability. The position provides access to world-class computing resources, such as the BNL Institutional
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investigators. Position Requirements Ph. D. in theoretical or physical chemistry, or a related field Extensive experience in one or more of the following areas: Computational modeling of homogeneous
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these applications to inform new foundational ML and NLP innovations. The position provides unique access to world-class computing resources, such as the BNL Institutional Cluster and DOE leadership computing