22 parallel-programming-"Computer-Vision-Center" PhD positions at Aalborg University in Denmark
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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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involve scientific programming, analysis and documentation of results, and dissemination through peer-reviewed publications and international conferences. The position is offered within the Center for
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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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of care. This project may 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
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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
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scientific ideas. Previous experience with statistical analysis, programming (e.g., R or Python), machine learning, or genomic data analysis is an advantage but is not required. We welcome applicants who
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has: MSc degree in Geodesy, Hydrology, Water Resources, Civil Engineering, Physics and Meteorology, Applied Mathematics, Computer Science/Engineering, or a comparable discipline. The MSc degree must be
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Computer Science Ref number: 2026/958 Employment type: Full Time Apply Aalborg Deadline : 31.08.2026 Department: Department of Computer Science Ref number: 2026/958 Employment type: Full Time Apply Vacant
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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