22 programming-"https:"-"https:"-"https:"-"https:"-"https:"-"Computer-Vision-Center" PhD positions at Aalborg University in Denmark
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organizational theory, the learning sciences, digital transformation, digital technologies, human-computer interaction, and related fields. Within the specific field, the PhD student will engage in both
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focus on leading Human-Computer Interaction venues. For further information about the project, see: https://dff.dk/en/our-funded-projects/meet-the-researchers/research-leaders/eksterne-personer-en
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desuden søges oplysninger om ph.d.-uddannelsen hos ph.d.-koordinator Thomas Neumann, [email protected] . Se også Instituttets hjemmesiden om ph.d.-uddannelsen https://www.law.aau.dk/forskning/phd/ Det
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Thomas Neumann, [email protected] for nærmere information. Se også Instituttets hjemmesiden om ph.d.-uddannelsen https://www.law.aau.dk/forskning/phd/ Ved bedømmelse af ansøgere lægges særlig vægt på
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start from 1st of November 2026 or as soon as possible hereafter. About the project The position is affiliated with the Pioneer Center for Accelerating P2X Materials Discovery (CAPeX) and the section for
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both the communications and AI communities. Your competencies We are looking for a candidate with a Master's degree in electrical engineering, computer engineering, computer science, data
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A PhD stipend within the AI:EcoNet Lab (DEIS) Apply Vacant position A PhD stipend within the AI:EcoNet Lab (DEIS) Aalborg Deadline : 16.08.2026 Department: Department of Computer Science Ref number
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also explore human-in-the-loop (HITL) and virtual human twin (VHT) approaches. You will be based in the Clinical AI Group at the Center for Clinical Data Science (CLINDA), Aalborg University and Aalborg
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develops new human-AI-human interaction paradigms that support collaborative processes rather than isolated individual use. Combining perspectives from the learning sciences, Computer-Supported
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degree Programming skills (Python) and experience with common machine learning platforms Experience with deep learning, computer vision, medical image analysis or unsupervised learning is an advantage