25 machine-learning-phd "Eindhoven University of Technology (TU" positions in Netherlands
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WDM switches and the fast control to enable novel low latency highly scalable and flat interconnect AI compute clusters. Machine learning clusters and artificial intelligence (AI) training have become
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5 Sep 2026 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Engineering » Electrical engineering Engineering » Electronic engineering Researcher Profile
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Are you fascinated by how machine learning can enhance control without compromising safety or stability? As a PhD candidate, you will develop scalable methods for expressive and flexible neural
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25 Jul 2026 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Computer science » Database management Computer science » Programming Economics
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20 Aug 2026 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Engineering » Computer engineering Engineering » Electrical engineering Researcher Profile
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15 Aug 2026 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Computer science » Programming Engineering » Computer engineering Engineering » Electrical
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embedded in the Mobile Perception Systems (MPS) Lab and Electronic Systems (ES) group within the Electrical Engineering department at Eindhoven University of Technology (TU/e). The MPS lab and ES group have
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processing, machine learning, computational imaging, and clinical translation. Beyond your individual research contributions, you will serve as a technical coach for the PhD researchers, helping to align
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at approaching these limits. Main areas of interest are free space optical communications, fiber communications, source coding, channel coding, (multi-user) information theory, security, and machine learning. You
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This PhD project, part of the REACT MSCA Doctoral Network, aims to develop an energy-efficient compute-in-memory (CIM) architecture using gain-cell memory for real-time edge learning, addressing