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green transition. Due to the complexity and heterogeneity of the biological mechanisms underlying fermentation, achieving optimal performance often requires fine-grained, time-dependent, control
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engineering, or similar. Solid mathematical and analytical skills, including signal processing and optimization. Knowledge about classical and/or quantum data communication, including for instance error
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developed to allow operators to visualize real-time risk indicators, maintenance sched-ules, and preventive repair alerts, facilitating optimized maintenance decisions and reducing unplanned downtimes
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alerts, facilitating optimized maintenance decisions and reducing unplanned downtimes. The framework will be validated through close collaboration with industry partners, incorporating actual operational
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), state estimation (e.g. Kalman filtering, pose graph optimization), or collaborative positioning is highly valued. Mathematical skills: Competence in mathematical modeling of dynamic systems and
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qualifications: MSc degree in electrical engineering, mathematical engineering, mathematics, computer science or similar; Solid mathematical and analytical skills, including signal processing, statistical learning
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is to use hierarchical structures, i.e. complex material layers that can be optimized to specific battery chemistries and flow phenomena from the microscale up. The developed technologies will be
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, mathematics, computer science or similar; Solid mathematical and analytical skills, including signal processing, optimization, or information theory; Experience in programming, e.g., in C++, Python or Matlab
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, including electrical engineering, control theory, industrial engineering, electronics engineering, energy policy, data science, and applied mathematics. As part of the RADAR project, funded by Independent