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Field
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: Transparency. As part of this doctoral project, you will develop novel knowledge representation techniques, algorithms for human-in-the-loop optimization, and interactive tools that combine graphical and natural
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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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sensors in daily life. By linking physiological markers of fatigue to movement quality and real-world activity, you will gain new insights into why mobility deteriorates during daily activities and how
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-constrained devices such as wearables, smart sensors, hearables, and IoT nodes. While current deployment methodologies can optimize models before deployment, the resulting software remains static throughout
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in eddy current sensor responses. This will involve both experimental work and analytical interpretation, linking EM signals directly to underlying physical mechanisms. Key research themes include
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cutting-edge computer vision, wearable sensors, and citizen science, RUN2GETHER will capture large-scale, real-world data during running events and group runs. These data will advance our understanding
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passive seismic experiments (HOREX® and Full-HOREX®). These deployments, involving more than 2,000 nodal sensors, provide high-resolution imaging of the subsurface over an 80 × 80 km area to a depth of ~20
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will be carried out on a nuclear reactor simulator, with the possibility of validating results on a physical non-nuclear test system. You will design control algorithms that handle the full range
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mechanisms to protect sensitive information, trusted operations, and critical functionality. While cryptographic algorithms and software-level protections may be theoretically secure, their physical
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16 Jul 2026 Job Information Organisation/Company CNRS Department Laboratoire lorrain de recherche en informatique et ses applications Research Field Computer science Mathematics » Algorithms