79 affective-computing-"https:"-"https:"-"https:"-"UCL"-"UCL" positions at Aalborg University in Denmark
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Tracking within the general study programme Electrical and Electronic Engineering. The PhD Stipends are open from August 1, 2026, or soon hereafter, and the integrated PhD stipends are open for appointments
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quantitative analysis of register, survey, and patent data to various qualitative methods. If you have an interest in, or experience with, novel computational methods such as NLP, machine learning, and AI
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AI:X is an ambitious initiative at Aalborg University that aims to advance AI research and create real-world impact through interdisciplinary collaboration. Nine labs will be initiated in 2026 with
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-physical energy systems. About the project AI:X is an ambitious initiative at Aalborg University that aims to advance AI research and create real-world impact through interdisciplinary collaboration, and
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areas: cyber security privacy engineering cryptography and applied cryptography computer engineering edge or cloud computing and networking. You will be part of one of the department’s research groups in
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AI:X is an ambitious initiative at Aalborg University that aims to advance AI research and create real-world impact through interdisciplinary collaboration, and nine labs will be initiated in 2026
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evaluate their own teaching in alignment with course plans and programme learning objectives. The role also involves developing a personal teaching portfolio and completing the university’s pedagogical
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turbines. Two PhD stipends are available for an appointment. About AI:X Labs AI:X is an ambitious initiative at Aalborg University that aims to advance AI research and create real-world impact through
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AI:X is an ambitious initiative at Aalborg University that aims to advance AI research and create real-world impact through interdisciplinary collaboration, and nine labs will be initiated in 2026
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operational support. This ensures a strong connection to real-world challenges and a clear pathway for industrial relevance and impact. Teaching will primarily be in condition monitoring, machine learning, and