27 learning-"https:"-"https:"-"https:"-"https:"-"Computer-Vision-Center" PhD positions at Aalto University
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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) to
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-funded project focused 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
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mathematics, computer science, or a related field, and strong programming skills, to work on biology-informed machine learning for dynamical systems (see project description below). The position is based at
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machine learning, computer vision, multimodal perception, probabilistic modeling, and interpretable artificial intelligence. The research will be conducted in collaboration with leading national and
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, Computer Science building, room A238 The Digital Economic Security Lab (DIESL) is hiring research assistants to conduct research on the international political economy of digital infrastructures. The
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infrastructure for deep learning, speech, and audio research, including Aalto University’s large-scale scientific computing cluster with CPU and GPU nodes, access to CSC’s national computing infrastructure
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Processing, or a closely related field, completed by the start of the position Have practical experience in machine learning with Python, including training neural networks in PyTorch or a similar
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computation, and quantum machine learning. Theoretical and applied research into the capabilities of quantum computing and quantum advantage is a prospective topic across four application domains
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-driven decision-making. The wider Aalto community , including researchers and students from electrical engineering, automation, computer science and energy-related fields. The working style of the group
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Chemistry and Materials Science is looking for: A Doctoral Researcher (PhD student) in Machine Learning for Electron–Phonon Interactions and Wannier-Based Hamiltonians The ELPH-ML project, led by Dr