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discrete choice modelling, behavioural data science or machine learning? Are you interested in developing the next generation of AI tools that accelerate scientific discovery while maintaining behavioural
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research in robotic design and algorithms through real-world applications such as a robotic fish for underwater locomotion , soft robotic hands for pick-and-place tasks , and multi-segment arms for dynamic
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to publications in top-tier international conferences and journals, as well as real-world implementations. The role includes designing novel algorithms, building robust software systems, and collaborating with
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and simulation of physical, engineering, or complex systems. The position is particularly suited to researchers with a strong background in applied and computational mathematics who develop mathematical
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Research Infrastructure? No Offer Description The objective is to develop advanced algorithms for AI-enabled semantic and robot-control-aware communication with a particular focus on the management and
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 2 months ago
(PETs) and privacy assessment functionality based on MAGNET scientific advances By default all developed software will be open-source. Tasks may include developing algorithms, e.g., cryptographic
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support the development, simulation, testing, and implementation of collaborative control algorithms for multi-agent robotic systems, under the guidance of the PI and senior researchers. The work will first
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the Singapore Smart Nation Initiative. ANGEL’s work in developing sustainable and equitable digital solutions and promoting a sustainable and green lifestyle will contribute to a smaller carbon
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localization algorithms, spearhead energy-aware navigation planning systems development, and oversee real world validation of underwater navigation technologies while mentoring junior team members. Key
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The successful PhD candidate will undertake research in the following areas: Develop deep learning algorithms for autonomous robotic navigation using dual-view image fusion and shadow-based visual perception