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At the Faculty of Engineering and Science, Department of Materials and Production a position as PhD stipend in Muscle Neuromechanics and Ultrasound Imaging, within the doctoral programme Materials
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, artificial intelligence (AI), machine learning, and computation have emerged as powerful digital technologies for creatively generating new design ideas and rapidly advancing formgiving methods within
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, Computer Science, Software, Natural Language Processing, or a closely related area. Candidates with strong backgrounds in NLP are preferred. Stipend 2:Safety alignment in NLP models. Using Cybersecurity expertise
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. The main case will be generative AI for architecture visualization, and possibly computer vision for understanding buildings. Candidates for this stipend should have a background in software engineering or
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technologies Programming skills in C++/Python and familiarity with ROS is a plus Background in human factors or human-in-the-loop systems is beneficial PhD Stipend 3: Computer Vision and Multimodal Sensing
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interdisciplinary competences in: communication theory, networking, information theory, physics, mathematics, computer science, and statistics. This PhD project falls under Research Thrust RT3 on representation
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description In the Medical Informatics and Image Analysis group, we seek a highly ambitious and internationally recognized early-career researcher with a strong track record of scientific excellence to advance
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the interplay between qualitative and quantitative methods and data. There is a growing focus on novel computational methods such as NLP, machine learning, and AI within the group. Teaching activities in
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At the Faculty of Medicine, Department of Health Science and Technology, one or more PhD stipend’s are available within the doctoral programme: Biomedical Engineering and Neuroscience from August 1
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closely with other members of the AI:EcoNet Lab. Requirements: Master’s degree in computer science, data science, mathematics, statistics, physics, software or relevant fields Strong background in machine