28 parallel-computing-numerical-methods-"DTU" Postdoctoral positions at Aalborg University
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”, starting from May 2026 or soon hereafter. Offer Description The 3-year project is funded by the Energy Technology Development and Demonstration Programme (EUDP) and aims to deliver a standardised, robust
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At the Technical Faculty of IT and Design, Department of Computer Science, a 2-year Postdoc position in theories for programming semantics, methods for verification and reliability assurance
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At the Faculty of Engineering and Science, AAU Energy, a position as Postdoc is available within the general study program. The PhD stipend is open for appointment from 1st Feb 2026 or soon after
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paralleling SiC MOSFETs and power modules and must have experience with hardware methods to attenuate the oscillations successfully. Your experimental experience must be relevant to the tasks and obtained from
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of electromagnetic theory, microwave principles, and computational electromagnetics (FDTD, FEM, MoM). Research experience with mechanically beam-steering, multiband/shared-aperture antennas, or antenna array synthesis
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program, financed by the Villum Foundation, focused on the sustainable reuse of decommissioned wind turbine blades - made from fiber-reinforced polymers composites (FRP) – repurposed for civil construction
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methods, design interventions, and digital/computational methods to engage users, publics, and partners in exploring dilemmas, controversies, and paths to sustainable and desirable futures. We strive
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scientific and technical supervision to students and technical staff. Facilitate collaborations and ensure alignment between experimental and computational research teams. Your competencies The ideal candidate
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charging strategies for lithium-ion batteries. The goal is to integrate model-based (digital twin) and data-driven (AI) methods to design and experimentally validate optimized pulse charging protocols. A
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, primarily in tropical and subtropical regions, with a strong focus on hydronic cooling. The research will centre on developing and applying machine-learning methods grounded in control and game theory