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Field
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edge of energy systems and computational engineering, developing scalable methods to simulate and secure IBR-dominated grids. Your key responsibilities include: Conducting large-scale simulations
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processing, algorithm design, optimisation and simulation, software engineering and automation and control systems. An overview of the current PhD research projects is given here: https://www.dashh.org
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developments) through scenario-based modelling Assess the interactions between gas, electricity, and heat sectors, focusing on operational flexibility, cross-sectoral dependencies, and potential bottlenecks
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of the University of Bremen: Production Engineering, Business Studies / Economics, Mathematics / Computer Science, Physics / Electrical Engineering, and Law. Associated partners are the BIBA – Bremer Institut für
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Studies Sports Science Psychology Engineering Sciences Civil and Environmental Engineering Mechanical Engineering Electrical Engineering & Information Technology Faculty of Computer Science Natural & Life
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in the 36 months immediately before your recruitment date (mobility rules of the Marie Skłodowska-Curie program) Masters degree in electrical/electronic engineering, computer engineering, computer
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imaging. Your Profile: * Master's degree in Computer Science, Electrical and Computer Engineering, Mathematics, Physics, or a related field * Strong background in mathematical and computational sciences
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, data-centric research, and applications to scientific and medical imaging. Your Profile: * Master's degree in Computer Science, Electrical and Computer Engineering, Mathematics, Physics, or a related
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work in state-of-the-art laboratories and clean rooms. The role involves working in a cryogenic laboratory environment and following specific clean room protocols Master`s degree in physics or electrical
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closely with partners at TUD on performance analysis and validation. To be qualified for this position, you should have ▪ Excellent master’s degree in Electrical Engineering, Communications Engineering, or