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intelligence for more efficient mathematical and computational approaches. Subject description The work focuses on the design and optimization of various types of turbomachinery. The design and optimization
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capabilities In collaboration with other group members, you will contribute to benchmarking and optimization of sensors for infection diagnostics You will work within an interdisciplinary group at Chalmers, and
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, particularly in maritime transportation. You will also have the chance to work with the Swedish shipping industry through the Swedish Maritime Competence Centre LIGHTHOUSE. About us The Department of Mechanics
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-effectiveness. Collaboration with RISE: Work with researchers at the RISE Research Institutes of Sweden to develop an online Marine Systems Simulator (MSS) for real-time vessel monitoring and energy optimization
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independently. PhD in a relevant field. Documented experience of 1D, 2D design and optimization or CFD work related to turbomachinery research will be considered a plus Assessment criteria This is a career
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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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at both nanoscale and macro-scale. Interaction with industrial partners that produce lignin-based adhesive to optimize the function in construction materials will also be needed. Qualifications To be
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Optimal Control Theory Strong programming skills in C++/Python/MATLAB Familiarity with parallelization and high performance computing (CPU and GPU friendly code) Experience with Machine Learning, generative
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properties. In this project, we will apply machine learning and optimization algorithms in order to achieve the design of such nanophotonic structures. As a postdoc you will be part of the Condensed Matter and
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methods to improve steel recycling and minimize the reliance on primary iron, by optimization of steel processing. Steel scrap is not a uniform material but a very diverse group of materials with widely