27 software-engineering-model-driven-engineering-phd-position PhD scholarships at Chalmers University of Technology in Sweden
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researchers, industry professionals, and fellow PhD students Taking advanced courses within the Graduate School in Shipping and Marine Technology , with a specialization in Maritime Environmental Science
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urban planning. Research environment This PhD position is part of the Sustainable Urban Water and Environmental Engineering (SUWEE) research area within the Department of Architecture and Civil
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cells. Reference number: 20250273 Application deadline: August 10, 2025 Project overview This 5-year PhD project aims to develop a flexible and general model that enables comparison between different
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boundaries and towards circularity, resource efficiency and net positivity. In this fully funded PhD student position, which is part of the Formas-financed project “FRESH: Future REgenerative production
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solid foundation in semiconductor device physics and microwave engineering; experience in nanofabrication and/or semiconductor technology. Contract terms Full-time temporary employment. The position is
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. The position is placed in the Division for Computer Networks and Systems and is formally employed by Chalmers University of Technology. Our research spans from theoretical computer science to applied systems
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This PhD position at Chalmers University of Technology offers an exciting opportunity to work in an interdisciplinary environment and receive training and support in materials design and synthesis
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This PhD position presents a valuable opportunity to explore shared control between humans and vehicles utilizing steer-by-wire systems and to investigate how this approach can enhance vehicle
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background and your motivation to pursue a PhD • Motivate your interest in the research topic of this position and in pursueing your PhD at Chalmers • Describe your current MSc project and/or future research
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This PhD position offers a unique opportunity to advance safe and transparent control for autonomous, over-actuated electric vehicles. You will work at the intersection of model predictive control