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PhD Scholarship in Design optimizer tool and predictive control system of a Megawatt Charging System
deliver cutting-edge research, provide top-notch designs and developments on power electronics, powertrains and smart green energy solutions with intelligent control systems for tomorrow's mobility
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platform. Initially, a black box deep learning approach will be implemented. However, due to the need for robustness, transparency, and explainability (e.g. for quality control across sectors), the research
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the verbalization and automatic detection of emotions across languages’. In this project, you will investigate and compare emotional language use in different languages using methods from computational linguistics
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surrogates of offshore wind turbines’ foundations. As newer offshore wind farms are coming online with tighter fatigue designs and more aggressive control strategies, your research will seek to assist decision
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impact on functionalities and user control over financial and payment data. The candidate will perform the following tasks: Carry out interdisciplinary research in digital identity (wallets) and digital
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impact on functionalities and user control over financial and payment data. The candidate will perform the following tasks: Carry out interdisciplinary research in digital identity (wallets) and digital
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impact on functionalities and user control over financial and payment data. The candidate will perform the following tasks: Carry out interdisciplinary research in digital identity (wallets) and digital
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Optimized Design and Control of Soft Aerial Manipulators), in collaboration with INRIA Lille Nord-Europe in France and its leading Defrost team in soft robot simulation and control, see https
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and concerns about the dominance of the highly educated. Against that background, this PhD project aims to achieve a better understanding of the particularities of education-based status processes by
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the controlled flow at tunable temperature and photopolymerization of the precursor. The practical work will be complemented by fluid mechanics computer simulations, including solutions employing machine learning