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Are you interested in developing computational tools to understand the detailed mechanical behaviour of multi-phase materials? Then this PhD position at Chalmers University of Technology might be
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for an ambitious doctoral student who wants to conduct state-of-the-art research at the crossroads of brain inspired machine learning and next-generation hardware concepts. Candidates should have experience
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machine learning, computer vision, and materials science. The focus of this position is on development of neuro-symbolic models for the effective behaviour of the complex microstructure of recycled
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courses and conduct independent research, leading to a doctoral thesis in business administration with a focus on entrepreneurship. The course component of the doctoral program corresponds to 90 credits
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robots -Distributed task planning for collaborative missions -Behaviour tree based multi agent collaboration -Reactive task allocation in large scale missions For further information about a specific
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knowledge from experience and building goal-directed behaviors that combine dexterity with high-level planning to achieve complex manipulation tasks in real-world, human-centric settings. Research environment
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simulations Experience of work in the maritime sector or marine management Swedish language skills (spoken and written) Your tasks As a PhD student, your responsibilities will include: Plan and conduct research
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-scale GAC filter data to aid in system understanding, design, and optimisation. Main responsibilities Conduct research within the PhD project (>80%) Publish scientific articles and present your work
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function Data analysis. Main responsibilities Conduct research within the PhD project (>80%) Publish scientific articles and present at conferences Contribute to departmental teaching or other duties (<20
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on forests and forestry as complex socio-ecological systems. We closely collaborate with multiple stakeholders and conduct applied research in silviculture, forest ecology, pathology, policy and planning. We