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improving electric vehicle performance, safety, and lifetime. This PhD, in collaboration with Jaguar Land Rover, will develop physics-informed, state-based estimation algorithms for Lithium-ion battery
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compromised UAV may send poisoned model updates that corrupt the shared intelligence of the swarm. This PhD will develop lightweight, trust-aware methods to make FL models safer for UAV swarms. The successful
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. Two PhD studentships are available to address one or more of the following scientific challenges: 1. Mechanical Integration Structural and functional integration requires the development of novel
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in a real-world setting. Funding These are doctoral teaching assistant positions that combine a PhD programme with a university teaching contract. Your time will be split approximately 60% on research
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administration and organisation. We are looking for a/an University assistant predoctoral/ PhD Candidate 51 Faculty of Physics Startdate: 01.11.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr
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. There is also a need for accounting noise in Deep Learning models and quantifying uncertainty in real-world applications. This PhD studentship (scholarship) leverages large-scale Earth Observation data
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control platforms, advanced microcontrollers, distributed control algorithms, and artificial intelligence techniques, including neural networks and evolutionary optimisation methods, to enable the efficient
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that the estimation and control algorithms comply with automotive standards and are compatible with automotive protocols. They will lead EMB test bench development and provide the necessary training to the PhD student
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novel algorithms, aiming for theoretical guarantees when working with structured and unstructured data. Pursue and complete a PhD thesis within the appointed 4-year duration. Join the Vienna Doctoral
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Developing and validating 3D-OCT-based tools for posterior eye shape characterisation Applications are invited for a fully funded three-year PhD studentship sponsored by Carl Zeiss AG. The