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Are you interested in studying innovative educational practices in both secondary and higher education settings? Are you passionate about improving the quality of STEM (Science, Technology
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and efficient models that could in principle replace complex and heavy simulation models. Our goal is to develop and evaluate surrogate models in an industrial setting. You will work towards the future
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pyrolysis of (bio)methane, which captures carbon as solid by-products, is an important step towards the decarbonization of industries and to reach the Paris agreement. Your aim will be to develop novel
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targets – in overseeable timeframes – will only be possible if radical innovations are made in the way we develop and deploy offshore renewables: floating wind energy structures. The HybridLabs project aims
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Revolutionize neuroscientific visualization with real-time cinematic tractography. Join our innovative PhD project to develop cutting-edge brain visualizations, bridging the gap between data
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to reduce the requirement for DSP or to diminish its complexity. TU/e, in collaboration with several European partners, is seeking to develop and exploit chip-scale micro frequency combs and make them
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algorithms based on measured date. Preferable you will demonstrate the algorithm in a real-time demonstration set-up. Besides research you will also contribute to education within the department. Apart from
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with industrial partners. Motivated to develop your teaching skills and coach students. Fluent in spoken and written English (C1 level). Conditions of employment A meaningful job in a dynamic and
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on innovation. As part of this PhD project you will: Identify the most relevant societal stakeholders, end users and applications that would benefit from the optical circulator. Develop an overview of industrial
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within walking distance of the central train station. In addition, we offer you: Full-time employment for four years, with an intermediate evaluation (go/no-go) after nine months. You will spend 10