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. Knowledge of composite processing methods and structure-property relationships. Experience with advanced characterization techniques including XRD, SEM, TEM, Raman spectroscopy, FTIR, and related analytical
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with DFT or electronic-structure codes such as VASP, Quantum ESPRESSO, CP2K, ABINIT, GPAW, Gaussian, ORCA, Q-Chem, or related packages. Strong materials science or chemistry domain knowledge, such as
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, spectrum analyzer, or FPGA-based data acquisition. Cryogenic measurements and equipment maintenance, preferably dilution refrigerator. Knowledge about low-noise microwave characterization, including use
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electrochemical tests for new battery electrolyte materials. Position Requirements Recent or soon-to-be-completed PhD (typically completed within the last 0-5 years) in Chemistry or related field. Knowledge and
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, integrity, and teamwork Preferred Knowledge, Skills, and Experience Experience with superconducting nanowire single-photon detectors (SNSPDs), transition-edge sensors (TESs), or kinetic inductance detectors
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related field. Experience with finite element simulations and developing constitutive models. Knowledge of high temperature creep crack growth. Knowledge of engineering design codes such as the ASME Boiler
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levels both within and outside the laboratory. Preferred Knowledge, Skills, and Experience Experience with synchrotron or tomographic imaging datasets. Background in inverse problems or physics-informed
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electrolytes, particularly sulfide-based electrolytes, for energy storage applications Knowledge of interfacial engineering strategies, such as surface coatings, to suppress lithium dendrite formation Hands
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thin-film growth and characterization (oxides preferred), using sputtering (preferred), PLD, or MBE. Familiarity with synchrotron-based X-ray techniques and electron microscopy Knowledge of quantum
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frameworks such as PyTorch, TensorFlow, JAX, or similar tools. Knowledge of federated learning, distributed machine learning, privacy-preserving AI, foundation models, multimodal learning, continual learning