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, we will identify optimal fast-charging parameters using data-driven optimization methods. (2) We will first design an optimal control strategy on laboratory three-electrode cells using anode potential
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monitoring for radiofrequency signals for various applications as anomaly detection, modulation classification, sensing, and adaptive spectrum optimization, we are now looking for a Postdoctoral Fellow with
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of artificial intelligence (AI)-based spectral monitoring for radiofrequency signals for various applications as anomaly detection, modulation classification, sensing, and adaptive spectrum optimization, we
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to the development of several innovative doping methods. More broadly, the research aims to understand and control how molecular interactions, ions, and charge transfer processes determine the electronic properties
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excitation) in to the current waveguide chip settings. further develope microfluidics for controlled fluidic exchange allowing for kinetic measurements and to enhance data-driven image analysis to provide
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post-AM processing of non-weldable Ni-base superalloys and Ti-alloys using recent advances in laser processing and in-situ process control. Position is connected to the competence centre Centre for
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reactors, combining the advanced multiphase fluid dynamics, cavitating flow control, and reactor engineering. The successful candidate will: Design and optimize hydrodynamic cavitation reactor geometries
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10 Apr 2026 Job Information Organisation/Company Chalmers University of Technology Research Field Engineering » Control engineering Engineering » Materials engineering Engineering » Other Physics
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of electrodes and catalysts for low temperature fuel cells, electrochemical hydrogen generation, batteries, as well as heavy metal removal from aqueous solutions. By designing well controlled model systems in
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generation, batteries, as well as heavy metal removal from aqueous solutions. By designing well controlled model systems in combination with powerful analysis and characterization techniques, improved