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include, but not limited to, one or more of the following: Design and implement system software to enable AI-readiness for scientific data by developing adaptive techniques capable of maintaining
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, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD degree in Computer
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respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD degree in Computer Science or a related discipline. A strong background in scientific data
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Knowledge/experience on multimodal approaches, and possibly on (some of) the topics above quoted (e.g., domain adaptation, few-shot learning, self-supervised learning, etc.). Experience with deep learning
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involved in the Trusted Autonomous and Self-Adaptive Systems for Defence (SAACD) project. This project aims to overhaul the engineering and development of this type of complex system. A SAACD can be defined
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ingredients, and medical and laboratory technology. Further information is available on the department’s homepage: http://www.ntnu.edu/iba . Main duties of the position The interdisciplinary nature
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robots to learn (via exploration or imitation) from interaction, adapt to new tasks, and generalize across environments. Dexterous Manipulation – Advancing robotic grasping, in-hand manipulation, and
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, Robotics, or AI-enabled Cyber-Physical Systems. The successful candidate will contribute to cutting-edge research on MLOps, intelligent software pipelines, and adaptive robotics, working closely with
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robust perception systems that can efficiently adapt in a self-supervised manner to novel environments remains a significant challenge. We identify three core issues: (i) black-box models that ignore
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PhD in synthetic chemistry, and be interested in self-assembly issues and/or supramolecular chemistry in general. They should be enthusiastic, proactive, and autonomous, and enjoy working in a team