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of Communications, Antennas and Optical Networks, Systems and Control, Signal processing and Biomedical engineering, and Electric Power Engineering. We work with sustainable and smart solutions to societal challenges
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one or more of these subjects are valued: machine learning, automatic control, system identification, optimization, signal processing, filtering and smoothing, probabilistic modelling, dynamical systems
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We are looking for one postdoctoral researcher to join a research project centred around the theme of controlling photochemical reactivity under confinement. Our group, the Grommet Research Group
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build the sustainable companies and societies of the future. In line with the green transition and the striving for a sustainable supply of critical raw materials, our research in mineral processing
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mineralogical characterization, selective flotation with environmentally benign collectors, micro- and nano-bubble technologies, and controlled desliming to enhance recovery. The focus will be on understanding
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statistics, unsupervised machine learning, optimisation, model predictive control. Experience in financial mathematics. Having high integrity, be process-oriented and able to work independently. Being able
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prototype different thermal technologies and evaluate as well their integration and control within given hybrid systems, and under different market scenarios and industrial applications. Among
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crucial role in controlling risk. The project aims to investigate how abrupt changes in dynamics, such as hidden Markov models or statistical jump models, affect the optimal decision-making process for
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measurement and control platform for optimal island operation of Chalmers’ wind-battery system. Machine learning-based forecasting tools for renewable production using limited local measurement data
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can be controlled just like a normal hand, and also to electrically inscribe signals that give the prosthesis artificial sensation. At Chalmers, we have established new clean-room processes for further