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joining technologies, motor winding arrangements, and 3D-printed structures capable of mounting semiconductor devices within the motor architecture. 2. Thermal Management The harsh thermal environment
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network architectures for AI compute clusters utilising optical switching and numerically assess the performance via software simulation tools. Define the system specifications which will be then translated
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, motor winding arrangements, and 3D-printed structures capable of mounting semiconductor devices within the motor architecture. 2. Thermal Management The harsh thermal environment within integrated motor
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programming, documentation, and vulnerability detection, their adoption for other tasks such as software architecture design, or safety and hazard analysis, is still limited. The objective of this position is
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, such as programming, documentation, and vulnerability detection, their adoption for other tasks such as software architecture design, or safety and hazard analysis, is still limited. The objective
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. However, evaluating such architectures at system scale remains a major challenge due to the limitations of conventional software simulation and existing device-level emulation platforms. This PhD project
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to support software engineering apply AI to accelerate architecture-scale modernization help organizations establish AI-native software engineering practices guide organizations in evolving their software with
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to support software engineering apply AI to accelerate architecture-scale modernization help organizations establish AI-native software engineering practices guide organizations in evolving their software with
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performance. The research focuses include: runtime-reconfigurable neural network software kernels for novel embedded systems architecture, performance models for adaptive AI workloads, on-device search and
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04.08.2026, Academic staff Fully funded PhD position (TV-L E13) at the Technical University of Munich (TUM) in Generative AI for Automotive Software Engineering. The project focuses on LLMs, VLMs