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Field
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opportunity for an experienced researcher to lead the development of decentralised swarm control algorithms for underground pipe operations. You will join an international research programme funded by
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. The successful candidate will assist in developing novel algorithms and integrating them into robotic platforms, helping to push the boundaries of embodied intelligence in both research and practical deployment
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at the interface of optimization, geometry, and machine learning Designing, implementing, and testing algorithms Engaging in scientific exchange with collaboration partners of the project Preparing reports
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concurrent algorithms can themselves be vulnerable. In particular, well-understood safety conditions such as linearisability do not guarantee security, and current approaches to addressing this issue lead to
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generation data analysis pipelines. Assists in analysis pipeline and algorithms development and validation. Extracts features of interest from data relating to specific biological questions. Contributes
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techniques Clean, manage, and prepare research data (including electroencephalography (EEG) and magnetic resonance imaging (MRI)) for analysis Assist with algorithm development, optimization, and software
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simulation models, conducting algorithm design, and analyzing simulation results. There may be opportunities for future implementation and experimentation with hardware. A keen interest in research and
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-generation technologies that promote sustainable, healthy, and intelligent living environments. The successful candidate will develop innovative sensing systems, artificial intelligence (AI) algorithms, and
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integration of autonomous driving algorithms for trajectory generation and control in mining operations. ● Research and development of an accurate simulator for the vehicles and platforms used in mining
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for pricing complex derivatives and risk measurement, numerical optimization algorithms for portfolio optimization and calibration of financial models. We will focus on practical applications to real-world