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postdoctoral researcher with a solid background in one or more of the following areas: game theory, optimization algorithms, and numerical methods. The successful candidate will develop efficient algorithms and
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research environments in Computational Science, the research and education has a unique breadth, with large activities in areas such as numerical analysis, mathematical modelling, development and analysis
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runaway models and numerical methods in OpenFOAM. Design and optimize computational frameworks for high-performance simulation of reacting flows and battery safety phenomena on modern GPU architectures
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. Plant science/ecology, especially related to forest ecosystems. Computer programming. Data analysis (machine learning, statistics, numerical analysis, time-series analysis, etc.). Quantitative methods in
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cutting-edge methods, models and technologies in environmental science, quaternary sciences, bedrock geology, paleontology, physical geography, biodiversity and ecosystem science, remote sensing, Geographic
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at Lund University. Research in solid mechanics at Lund University is specifically focused on theoretical, numerical and experimental aspects of the mechanics of materials. The division has strong activity
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methods that combine soundscape targets, acoustic metamaterials, physical modelling, inverse design, machine learning and perceptual evaluation. The postdoc will develop models and design methods
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antennas or electromagnetic components. Experience with numerical electromagnetic methods and commercial simulation tools such as CST Microwave Studio or Ansys HFSS. Proven ability to publish research
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vehicles. Using numerical simulations, experiments, and system-level analysis, we study the interactions between airflow, heat transfer, and vehicle components to develop methods and technologies for next
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out and update its knowledge base (i.e. update learning). Also writing scientific papers and communicating our research advances in conferences. Methods: programming a humanoid platform using ROS2