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Two postdoc positions in Thermofluid Design and Digital Modeling of Cooling Systems for Electroch...
accompanied by a digital thermal model suitable for real-time prediction and control. The two positions are closely coupled. One focuses on physics-driven thermal design and optimization, the other on CFD
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hybrid quantum systems (including open-system and non-Hermitian effects). Design noise-resilient control and optimization strategies, including reinforcement learning (RL) and optimal control approaches
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development of numerical design, control, and optimization software tools, developing new and innovative methods of capturing marine energy, performing laboratory testing, and supporting open-ocean
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translate free-space and fiber-based quantum-optical concepts into scalable chip-based systems or work on optimization of bulk sources of pulsed squeezed light, real-time feed-forward control and other
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/fluid-rock interface optimization within unconventional reservoir rocks. The role balances core DOE deliverables on fundamental huff-and-puff mechanisms and processes with exploratory research into
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numerical skills especially in Matlab, Mathematica, Python or similar programming languages. Previous research experience with toolkits for quantum computing such as Qiskit, QuTiP, PennyLane, Quil, etc
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diagnostics and supporting beam matching and optimization Support of FLASH operation and participation in dedicated experiments when appropriate Presentation of the achieved results in scientific journals
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international team combines materials chemistry, optical spectroscopy, electron microscopy, theoretical modeling, and numerical simulation to understand and control materials at the nanoscale. Project background
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maintenance. PhD degree in physical/materials sciences/engineering/computer science or related disciplines. Experience in microwave signal processing. Strong numerical skills especially in Matlab, Mathematica
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activities in areas such as numerical analysis, mathematical modelling, development and analysis of algorithms, machine learning, optimization, scientific software development and high-performance computing