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efficiency and the safety of operators and equipment. Science objectives: 1) Development of innovative machine learning models that require minimal data by leveraging simulations and domain knowledge, and
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Project tasks and objectives: Industry objectives: To investigate sensor configurations and machine learning methods for sensor fusion-based machine perception for real-time operation, including
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research and education. Our universities community has its competitive edges in technology, health and society. www.tuni.fi/en Mobile working machines (MWM) are critical to industries like construction
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multidisciplinary, inspirational and high-impact research and education. Our universities community has its competitive edges in technology, health and society. www.tuni.fi/en Mobile working machines (MWM
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) diploma in relevant engineering disciplines or applied mathematics. Experience with computer vision, dynamic 3D modelling, semantic labelling, deep learning models are appreciated. English language
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in software engineering, machine learning, artificial intelligence, and human-computer interaction, the Unit provides a strong foundation and supportive environment for doctoral studies. In
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opportunity to engage in innovative research at the intersection of optimal control, machine learning and robotics. Job Description As ALCAN Research Group, we work on the safety and reliability of complex
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experimentation to develop integrative metamodeling approaches, qualitative systems analysis methods and causal graph-based solutions for machine learning. The team aims to advance innovative and robust solutions
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disciplines, and data science seeks to build models and extract meaningful information from large amounts of complex data. Machine learning, artificial intelligence and data-drivenness cut across all our