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. With the global goal of achieving net zero emissions, energy systems are transforming with a rising share of renewable energy generation and the spreading deployment of low-carbon energy technologies
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optimization lab (EES EMPDO lab). The former focuses on intelligent energy network research, including: demand management and flexibility, digital twinning, data analytics, smart grid ICT architectures and
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are looking for talented people to join us. Your responsibilities include: MI Project IE2501 “Safe Hydrogen Networks: ML-Supported Safety Analysis and Optimized Sensor Placement” Research in the field of safety
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on intelligent energy network research, including: demand management and flexibility, digital twinning, data analytics, smart grid ICT architectures and systems integration in multi energy systems. The latter
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of quantum computing principles (required) Knowledge of conventional communication networks and/or distributed computing (advantage) Experience with Qiskit, QuTiP, pytket, circuit optimization, or quantum
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one of 17 doctoral students across the entire network, and one of 3 doctoral candidates based at Helmholtz-Zentrum Hereon. Your tasks You focus on developing your PhD project In silico optimization
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to multidisciplinary environments and a focus on professional growth and development. Results-oriented, negotiation skills and communication abilities to build a network of relationships. Proficiency in English
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project, you will help design, simulate, and optimize these next-generation communities — making clean, local, and intelligent energy systems a practical reality. Your key responsibilities include
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1st, 2026 Work location: Geesthacht (near Hamburg) Application deadline: December 31st, 2025 EU MSCA doctoral (PhD) position in Materials Engineering with focus on computational optimization
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and phenotyping for sustainable crop production with the vision to transform crop production by optimizing breeding and farming management through developing and deploying new technologies. Within