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12 Dec 2025 Job Information Organisation/Company University of Amsterdam (UvA) Research Field Computer science Mathematics » Algebra Mathematics » Algorithms Mathematics » Discrete mathematics
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stakeholders in the Dutch battery ecosystem to develop and demonstrate the next-generation algorithms and models for the future Battery Management System. The PhD student will work on topics related to: Develop
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evolution of EO Sentinels data processing algorithms and the management of related procurement activities for their efficient implementation; supporting the operational Copernicus Sentinels missions and data
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algorithms to ensure seamless, reliable, and secure wireless communication in challenging and dynamic environments. The key responsibilities for this positions are listed as the following: Develop protocols
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complexity theory, fast matrix multiplication algorithms, the geometry and representation theory of tensors, asymptotic spectrum duality, and applications? The research group of Jeroen Zuiddam at University
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embedded in the context of the RVO project “SLDbatt”, in collaboration with Dutch research organisations and ESS industry partners. The SLDbatt project aims to develop and deploy battery technologies towards
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research is developing structured, LLM-readable document representations that enhance accuracy, facilitate automation, and improve interoperability across different model types used within the organization
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of battery modelling and algorithm development, with a strong emphasis on the data-driven modelling and control aspects. You will contribute to shaping the technologies that underpin a more sustainable and
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. The position is embedded in the context of the RVO project “SLDbatt”, in collaboration with Dutch research organisations and ESS industry partners. The SLDbatt project aims to develop and deploy battery
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or incomplete. Information Your tasks will include: Developing and benchmarking ML/AI algorithms tailored to low-data regimes — e.g. few-shot learning, transfer learning or data-efficient representation learning