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demonstrating disruptive new network architectures for AI compute clusters utilizing optical switching to increase efficiency and reduce latency and power consumption. Therefore, the PhD candidate will
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. Two PhD studentships are available to address one or more of the following scientific challenges: 1. Mechanical Integration Structural and functional integration requires the development of novel
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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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8th October 2026 Languages English English English The Department of Computer Science has a vacancy for a PhD Candidate in AI-Assisted Software and Systems Engineering Apply for this job See
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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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PINN is further integrated into the open-source software package OpenFOAM, ultimately demonstrating its effectiveness in simulating offshore renewable energy systems. Funding These are doctoral teaching
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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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. 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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clusters with low power consumption and ultra-low and deterministic latency. The focus of the PhD activity is on demonstrating disruptive new network architectures for AI compute clusters utilizing optical
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packaging, where EISLAB is responsible for the packaging part within a European consortium. Subject description Cyber-Physical Systems focuses on integrated software and application architectures with