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Future robots must perceive, predict, communicate, and decide reliably in complex, human–robot shared environments. The Mobile Robotics (https://www.aalto.fi/en/department-of-electrical-engineering
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states are unobserved. Purely data-driven models offer flexibility, but often ignore known biology and provide limited insight into uncertainty and mechanisms. These challenges motivate a broader Biology
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to high-quality scientific publications, reproducible methods and doctoral-level training. The work will focus on uncertainty-aware machine learning and probabilistic models for condition monitoring and
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doctoral-level training. The work will focus on uncertainty-aware machine learning and probabilistic models for condition monitoring and predictive maintenance of maritime machinery. Your tasks include
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AI-based methods. Knowledge of power systems, hydrogen systems, or multi-energy system operation. Familiarity with uncertainty modelling, stochastic programming, robust optimization, or real-time