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Project description Third-cycle subject: Solid Mechanics ENDURE is looking for a doctoral student for the project “Physics-based modelling of network deformation and damage in natural fibre moulding
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enabling a wide range of robotic applications. As a PhD student, you will receive academic and pedagogical training and become part of a dynamic, international research community and network. This project
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Industry4.0 for MFP industry - the ENDURE Doctoral Network comprising 12 Doctoral Candidates is designed to train this next generation of scientists and engineers. ENDURE is a new Marie Skłodowska Curie (MSCA
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communications, network security, and advanced data-driven methods. This is a unique opportunity to contribute to pioneering research that tackles one of today’s most pressing challenges: how to design resilient
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automata, and the mathematical and computational foundations of neural networks. Familiarity with the following areas is meritorious: machine learning, computational complexity, tree automata and tree
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and patient stratification. The laboratory is supported by prestigious national and international grants, including an ERC Synergy Grant, and is embedded in an active network of collaborations with
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join a world-renowned team on an interdisciplinary project to develop advanced state-of-the-art machine learning models for decision-making in complex systems. The Division of Decision and Control
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northern Sweden create enormous opportunities and complex challenges. For Umeå University, conducting research about – and in the middle of – a society in transition is key. We also take pride in delivering
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, and the mathematical and computational foundations of neural networks. Familiarity with the following areas is meritorious: machine learning, computational complexity, tree automata and tree
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experimental validations. Training an AI agent using both generated data and engineers’ evaluations of design trials. Deploying the trained model in increasingly complex representative environments