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. You will design and optimize resilience mechanisms that estimate disruption risk and proactively reconfigure the transport network to enable autonomous recovery, self-healing, and graceful degradation
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analysis, with the long-term goal of enabling health-aware battery management and optimized charging strategies. Qualifications Requirements A doctoral degree or an equivalent foreign degree in Control
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for acoustic metamaterials/metasurfaces; use simulation and data-driven optimization; contribute to listening tests and VR-based soundscape evaluation; build or test prototypes; publish results; and contribute
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phase-field modelling elucidate the mechanisms at play. Where to apply Website https://su.varbi.com/ Requirements Research FieldChemistry » Physical chemistryEducation LevelMaster Degree or equivalent
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-precision hardware without compromising simulation fidelity. Data-centric optimization: Designing and implementing communication schemes and data access strategies targeting post-exascale systems, e.g., using
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PhD Position in Engineering Materials Project: Development and Characterization of Advanced Sorbents
production of materials – mainly metallic and ceramic – as well as application aspects. PROJECT DESCRIPTION The PhD student will focus on the synthesis, optimization, and characterization of advanced sorbent
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tracking; volume and mass estimation; inverse geological modelling; and analysis of sensor and telematics data from machines and transports. The logistics part may include optimization of construction
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within 1000 mAh g-1 for cycle stability. Where to apply Website https://su.varbi.com/what:job/jobID:947087/where:4/ Requirements Research FieldChemistry » Heterogeneous catalysisEducation LevelMaster
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processing mechanisms of the human brain are exploited. Such systems have the potential to enable energy-efficient computations and optimizations for future AI-like applications. A central part of the project
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AI-driven decision making. It will be conducted in collaboration with the Automatic Control group (from Department of Electrical Engineering) and the Mathematical Optimization group (from Department