166 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "FORTH" PhD positions in Norway
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to design and evaluate Artificial Intelligent (AI) systems with and for people, aligning AI technologies with human needs and values, situated at the intersection of AI and Human-Computer Interaction
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collaboration, funded through the Centre for Research-based Innovation, SFI-CELECT (Research Centre for Effective Engineering and Learning in Complex Systems) . The position is 3-year doctoral research
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at NMBU. The applicant must have an academically relevant education corresponding to a five-year master’s degree, with a learning outcome corresponding to the descriptions in the Norwegian
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career plan will be prepared that specifies the competencies that the Research Fellow will acquire. Access to career guidance will be provided throughout the doctoral education. Research topic The Research
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relevant Master’s degree (or equivalent) in design, industrial design, human–computer interaction, robotics, human–robot interaction, human factors, cognitive psychology, or another relevant field have a
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cooperate in interdisciplinary team You have good communication and dissemination skills You have good analytical and critical thinking skills You have a genuine interest in research and willingness to learn
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of interactive AI agents that can support human learning in complex, safety-critical environments. Human-centered AI in this project means that the agent will learn from simulator data and expert knowledge, and
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position is anchored in the faculty’s research group “music-related learning processes ” through which it will be associated with “MishMash – Centre for AI and Creativity ”, a Norwegian AI research centre
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to a positive and collaborative group atmosphere, be open to learn and teach Strong communication and presentation skills Be flexible and open to adjusting the plan for the project as needed Emphasis
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that the PhD candidates complete their degrees within the nominal length of study an attractive and good learning environment for PhD candidates The programme offers several courses and candidates from other