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Samuel Kaski’s research group Probabilistic Machine Learning is searching for postdocs to work on AI fundamentals in exciting projects. The work includes collaboration with ELLIS Institute Finland
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machine learning (TML). TML is a cross-disciplinary field that combines machine learning, security/privacy and transparency. As a doctoral researcher your goal is to conduct research in the fast-paced field
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Aalto University is looking for an Postdoctoral Researcher in Artificial Intelligence / Machine Learning Engineering [Academic Research Software Engineer] to a postdoctoral-level position. The
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mathematics or a related field. The successful candidate will have expertise in at least in one of: Machine learning in the context of physical systems AI-based condition monitoring Reinforcement learning
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datasets with new products and when existing products change during operation The Doctoral Researcher is expected to focus on research on applying offline reinforcement learning to heavy machines. While
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modeling, statistical approaches and machine learning. The successful candidates are expected to lead an outstanding independent research program that complements and extends the existing research efforts
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a starting grant. You will also contribute to teaching on bachelor, master and doctoral level. The successful candidate should be prepared to teach courses in key areas such as computer architecture
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under multiple design and production constraints. In this position, you will have a chance to make an impact by connecting and developing the solid and structural mechanics or machine learning expertise
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skills (e.g. Python, Julia) to merge concepts of chemical engineering, operations research and computer science, as you may also need to deploy machine learning to support data analytics and complex
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subsidiary sites across the consortium partner states. ELLIS Institute Finland is a newly established world-class research center in AI and machine learning. It is a central part of the pan-European AI