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Field
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-resolution imaging to altimetry. In TU Delft, we are openning a 2-year postdoctoral researcher position to advance this promising field. The position is part of NL-RIA 2.0, the Dutch network on small
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construction machinery using the trolleybus network as an energy source. This Postdoc is part of the EU-funded GRID4CITY project, within the Driving Urban Transitions (DUT) Partnerships program call 2025-26
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methods with the ability to implement and evaluate machine-learning systems at scale. Candidates may come from topological data analysis, geometric deep learning, network science, statistical physics
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postdoctoral researcher in the NWO KIC project STURDI-Water (Storage, Upgrade, Reuse and Distribution of Water in regional collaborative networks), you lead research aimed at identifying the key success factors
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DeepMD, NEXMD, i-PI, MixPI, NWChem, CP2K, or comparable packages. Experience with GPU acceleration, distributed training, high-performance computing systems, or C/C++ scientific software development
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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and duration of employment This is a fixed-term position for 3 years. Starting date 1 February 2027. Job description You will establish and develop functional screening pipelines to identify regulators
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that enhance the reliability, efficiency, and resilience of electric power distribution networks. Required Minimum Qualifications : PhD in Electrical Engineering Preferred Qualifications: Demonstrated research
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, or be nearing completion of, a PhD in Computer Science or a cognate field. The successful candidate must possess expertise in distributed AI/ML systems and computer networks. Good knowledge and practical
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of the energy system, security of supply, and the distribution of costs and benefits among market participants. Theme B: Power system flexibility in data centres Research on this theme addresses large data