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, with expertise in fluid mechanics and heat transfer Experience with OpenFOAM simulation software Programming skills with software such as Matlab and/or Python How to apply Please send an email with
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. Together we will study how the existing and emerging paradigms in reinforcement learning can be utilized to power automated annotation and diagnostic software of critical infrastructure via continual
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, the software or staff knowledge while supporting the system. It is important to note that obsolescence management plays a key role in improving safety, security, efficiency, and lifetime of a system, and such
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leader in software for the design and analysis of electrified powertrains. Vision We are seeking a highly motivated and ambitious individual with a strong background in Electrical Engineering, Mechanical
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interesting topics. You will have the opportunity to experience a great research environment, with several ongoing international research projects and state-of-the-art equipment and software, including 3D laser
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addition, ideal candidate will have a working knowledge of some of key software tools such as CST Microwave Studio, Ansys HFSS and/or Matlab. Application Process Application deadline is 9th February 2025
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photonic design software (Lumerical, Comsol, MEEP or HFSS) will be an advantage. A solid understanding of electromagnetics, mathematics and statistics, and machine learning theory/algorithms, with excellent
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, ideal candidate will have strong background in antennas, RF design, and/or microwave/mm-wave engineering. In addition, ideal candidate will have a working knowledge of some of key software tools such as
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are essential. Strong skills in using ANSYS fluent, Python, Matlab or similar coding software are desirable. The studentship offers exciting research based in the Department of Architecture and Built Environment