Sort by
Refine Your Search
-
campus and one at the Aalborg campus. The themes cover key research areas of the department. Stipend: Synthetic Relighting of Real-World Environments via Generative AI and Computer Graphics Pipelines
-
within the general study programme Wireless Communications, as per May 15, 2026, or as soon as possible thereafter. The duration of the position is three years. In electronic engineering, Aalborg
-
, Department of Computer Science, the Technical Faculty of IT & Design and the Center for Clinical Data Science (CLINDA) and Center for General Practice (CAM), Department of Clinical Medicine, the Faculty
-
creative design processes. The lab will provide access to shared resources, joint supervision, and interdisciplinary training in AI, Life Cycle Assessment (LCA), and computational design tools. The objective
-
agendas in cities. The position is on the PhD program Media, Architecture & Design. This PhD position is part of a new interdisciplinary thematic research initiative that addresses Urban Social Resilience
-
, and scholarly publications in close collaboration with a Postdoc and a PhD student appointed across the Department of Architecture, Design & Media Technology and the Department of Sustainability
-
University (Aalborg CREATE city campus) on the PhD program Media, Architecture & Design, and forms a central part of the externally funded BuddhAi project, which is an interdisciplinary AAU initiative
-
completing your PhD project, you will have access to a range of different PhD courses. Some will be of specific scientific relevance to your own project, while others will be of a more general character
-
outcomes of therapy. The lab is looking for candidates for the following two stipends: • Stipend 1: Computer Vision-Based Analysis of Humans. This PhD candidate will focus on developing new AI/computer
-
of Computer Science, the Technical Faculty of IT & Design. We invite applications for two fully funded PhD stipends in the area of Natural Language Processing (NLP), Knowledge Graphs (KGs), and Large Language Models