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Applicants must have a PhD in Computer Engineering, Computer Science, or Electrical and Computer Engineering, and have published their research in prestigious conferences and journals in related
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project include two aspects: (1) based on the cutting-edge technologies from deep learning, computer vision or physics-informed machine learning, develop robust surrogate forward models to predict
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testing. Develop and validate electrochemical-thermal-mechanical models to simulate battery behavior under normal operation and failure conditions, including thermal runaway initiation and propagation
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operation and failure conditions, including thermal runaway initiation and propagation. · Analyze coupled failure mechanisms involving heat generation, gas evolution, internal shorting, and structural
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groundbreaking filtration and extraction processes. Key Responsibilities: Participate in and lead the development of lithium-ion battery recycling technologies. Develop advanced separation technologies including
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applications as soon as possible. Required Field(s): · Advanced fabrication process of emitting devices, mainly laser diodes . · Materials: wide-band gap nanostructure devices (mainly oxides, III
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. Responsibilities Development and optimization of perovskite-based solar cells at different levels. Developing large-area perovskite solar cells utilizing KPV-LAB's baseline processes. Performing accurate device
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, the generated data can be used to optimize mineral extraction processes from existing mines within a geometallurgical framework. The position will mostly focus on the development of measurement protocols and data
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of lithium-ion battery recycling. The focus of this position is on material recovery from cathode materials through a groundbreaking filtration and extraction processes. Key Responsibilities: Participate in
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activities: · Understanding/simulating the diffusion paths and cavitation in thermoplastic liners. · Multi-physics simulation of the diffusion process in thermoplastic orthotropic composites