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in underground facilities. The project aims to evaluate sensor technologies, design and optimize multi-sensor monitoring networks, and develop advanced detection and localization algorithms adapted
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plus. You enjoy working with complex, multimodal datasets and developing robust algorithms for continuous monitoring and predictive modelling. You are comfortable combining coding, data analysis, and
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collaboration with the Intelligent Maintenance and Operations Systems (IMOS) Laboratory at EPFL (Prof. Olga Fink). IMOS focuses on the development of intelligent algorithms designed to improve the performance
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flow reconstruction, enabling both real-time coarse diagnostics and high-fidelity offline velocity field estimation. Developing reinforcement learning (RL) algorithms for a multi-agent robotics system
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Curriculum vitae (including a list of publications, if applicable) Scanned transcripts of bachelor's and master's degree Contact info (no direct recommendation letters) for peers who can recommend you Your
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-neutral future .Curious? So are we. We look forward to receiving your online application with the following documents: Curriculum Vitae including educational history, full list of publications, awards, etc
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Trägerschaft are listed here: https://eikones.philhist.unibas.ch/de/graduate-school/leitung/#c1003
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. The selection process involves multiple stages, and short-listed candidates will be requested to apply to a specific EPFL Doctoral Program to qualify for a PhD at EPFL, i.e. EDAR. Please check this page
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check the pages of the doctoral program you intend to apply to. Each program has its own requirements, eligibility criteria and procedures that you need to be aware of. Check the list of EPFL doctoral
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list of publications A motivation letter Two letters of recommendation A brief research plan (1 page) Applications sent via e-mail or postal services will not be considered. For further information