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deep learning, computer vision, medical image analysis or unsupervised learning is an advantage. English language skills, both written and spoken Qualification requirements PhD stipends are allocated
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defining limit values suitable for use in LCA-based frameworks. The work may also address targets such as climate neutrality, net-zero, and regenerative performance, as well as methodological challenges
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to actively engage with the department’s research environment and participate in relevant national and international research networks. As part of the PhD programme, you will complete PhD courses within topics
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, ethnography, and policy studies. Further description of the project can be found here: https://dff.dk/en/our-funded-projects/meet-the-researchers/research-leaders/eksterne-personer-en/research-leaders-2026
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collaboration with a leading architectural firm. The candidate is expected to publish in leading Human-Computer Interaction venues. Your competencies You hold a master’s degree in human-computer interaction
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profile assessments with feedback, career-focused courses, and networking events with trade unions, employers, and other relevant parties. Learn more about these initiatives at our Career Hub
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world-leading fundamental and applied research within communication, networks, control systems, AI, sound, cyber security, and robotics. The department plays an active role in transferring inventions and
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model. The department leverages its unique research infrastructure and lab facilities to conduct world-leading fundamental and applied research within communication, networks, control systems, AI, sound
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compliance of the developed methods. There will also be interaction with the Novo Nordisk Foundation Data Science Infrastructure Programme, “the National Health Data Science Sandbox”, a network of data
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on completion. Links: AAU Business School: https://www.business.aau.dk/ | AAUBS IKE research group: https://www.business.aau.dk/research/research-groups/ike | CAISA: https://caisa.dk/ | SDC: https