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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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to apply for our open positions. Benefits In the Materials Informatics Laboratory group, we combine electronic structure simulations and machine learning to pursue innovative applications for future
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error correction (advantage) Background in software development (advantage) Optimization techniques and machine learning (advantage) Ability to conduct independent research Excellent written and oral
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, the social dynamics of human-AI collaboration, and advanced machine learning within engineering. Generative AI is fundamentally reshaping how engineers access domain-specific knowledge, interact with
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to bridge preclinical findings with clinical applications. Through advanced computational approaches, machine learning, and AI-driven neuroinformatics, we extract meaningful patterns from omics, imaging
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Researcher in Trustworthy Machine Learning Your role and goals Trustworthy & Adversarial Computing Lab (https://taclab.aalto.fi ) led by Sebastian Szyller is looking for a doctoral researcher (PhD student
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/ https://www.infofinland.fi/en/landingpage Ponsse's research and development (R&D) efforts in Tampere are focused on automation systems for mobile machines, software development, and energy-efficient
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to deploy machine learning to support data analytics and complex decision-making processes. Knowledge of modern SW-tools in the area of energy and sustainability is highly beneficial. Your role and goals You
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intelligence in engineering Interest in multi-objective optimization and machine learning Strong background in computational engineering, engineering mathematics and / or computer aided design High
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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