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Field
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in localization algorithms, spearhead energy-aware navigation planning systems development, and oversee real world validation of underwater navigation technologies while mentoring junior team members
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to enable long-term maintainability and sustainability of the software; apply appropriate domain-specific algorithms and programming techniques to advance software engineering in research computing. Provide
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and evaluation of suitable algorithms based on robustness, latency, and deployability on the robot Design of a system architecture that integrates the bridging concept into the localization stack
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consensus. The successful candidate will develop the algorithmic foundations of this framework—making the motion-generation stack modular and heterogeneous (combining model-based control with learning-based
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analysis algorithms Mentoring students in design, fabrication and testing of ultrasound devices Preparing documentation and publications in journals and conferences Preparing presentations and meeting with
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intended for a senior researcher with a highly specialized interdisciplinary profile at the interface of graph theory, combinatorics, exact graph algorithms, molecular graph analysis, cheminformatics, and
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. Inference methods will be developed within a maximum likelihood framework, based on Newton–Raphson-type optimization algorithms. Particular attention will be paid to the structural constraints imposed by sum
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to science and engineering domains. Design, develop, test, benchmark, deploy, and tune agentic AI software frameworks and multi-fidelity optimization algorithms to close the feedback loop for automated
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grounded in algorithmic information theory. Most AI research today is either mathematically clean but narrow, or practical but too opaque for rigorous safety analysis. We target a third category: methods
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collection from both experimental and numerical sources, gathering relevant test and simulation data available globally, organizing the collected data to support model and control algorithm development and