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analytics, and control in power distribution systems. The selected candidate will work very closely with partners from utility companies and national labs, and use real utility data and models to address
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at PhD level. Your research profile is clearly connected to power electronics and future power grid architectures, and you can demonstrate experience with distributed control, cyber-physical systems, smart
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, developing new control strategies for asynchronous grid operation, analysing energy router topologies and quantifying flexibility from each asynchronous grid across distribution and transmission systems, and
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technicians—as well as temporary staff on fixed-term contracts, postdocs, doctoral students, and interns, distributed across 21 research teams and 11 technical platforms and services. The IBDM is a joint
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HBIGS Heidelberg Biosciences International Graduate School | Heidelberg, Baden W rttemberg | Germany | 10 days ago
15 Apr 2026 Job Information Organisation/Company HBIGS Heidelberg Biosciences International Graduate School Research Field Biological sciences » Biology Researcher Profile First Stage Researcher (R1
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following fields: optimization, machine learning, and control theory, with an emphasis on large-scale and/or distributed methods and systems. Central aspects include scalable methods with well‑founded
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for this Postdoctoral researcher position will focus on one or more of following key areas, where proof of previous work with experimentally verified results is necessary: - Distributed robotic autonomy for embodied
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and to create the conditions for further acquisitions of qualifications after completing the doctoral degree. The position is a temporary employment of maximum 3 years. As a PostDoc you will carry out
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at least two of the following fields: optimization, machine learning, and control theory, with an emphasis on large-scale and/or distributed methods and systems. Central aspects include scalable methods with
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, it reveals highly segmented and complex at a smaller scale. Finally, while fault networks have a complex organization, some scaling laws have been demonstrated to partly control this organization