35 machine-learning-"https:" "https:" "https:" "Computer Vision Center" positions at AALTO UNIVERSITY
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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) to pursue a degree in trustworthy
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doctoral researcher(PhD student) with a strong background in probabilistic machine learning, statistics, applied mathematics, computer science, or a related field, and strong programming skills, to work
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on continual reinforcement learning for real-world systems. The grant provides a stable, well-resourced four-year research environment to tackle a problem that classical RL theory is not built for: real systems
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, foams, and emulsions Advanced textile recycling, including flotation‑based methods Learn more: https://www.aalto.fi/en/department-of-bioproducts-and-biosystems/bioproduct-chemistry Position description
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, telecommunications, or a related field (with a CGPA of at least 4/5) Experience (e.g. coursework, projects, etc.) in AI and machine learning, including understanding of various DNN architectures, training models, and
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the start of the position Have practical experience in machine learning with Python, including training neural networks in PyTorch or a similar framework Have a solid background in signals and systems as
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University can be found here: https://www.aalto.fi/en/teaching-and-learning/lecturer-career-system Salary is determined according to the salary system of Aalto University, and it is based on the applicant's
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series analysis or machine learning Programming skills in MATLAB and/or Python What we offer The position is fixed term and follows Aalto's standard 2+2 model. It will be made initially for two years, with
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and in close collaboration with the researchers at the Department of Applied Physics. The quantum computer hardware was built at Aalto University is part of the Finnish National Quantum-Computing
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mixing. Publishing research in leading journals and conferences in speech, audio, and machine learning, and contributing to open-source releases of software, trained models, and reproducible research