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. The PhD students will work on several tasks, including: development of safe data-driven control/reinforcement learning algorithms to recover parameter identifiability by exploration of different
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correction and/or mitigation. Knowledge about networking protocols and distributed algorithms. Experience in programming, e.g., in C++, Python or Matlab. Experience with quantum simulators, such as NetSquid
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-loss events undermine statistical confidence. The aim is to develop i) edge intelligence (on-turbine smart algorithms for data preprocessing), ii) resilient data movement (error-tolerant, cybersecure
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visions of AI-native data systems capable of querying unstructured data declaratively, you will design and evaluate novel algorithms for extracting entities and relationships, while capturing provenance and
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collaborates with more than 20 affiliated postdocs and PhD students from other university faculties and Aalborg University Hospital. Learn more about CLINDA here . The Department of Mathematical Sciences
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, empirical studies, 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
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, 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
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, computer science, and statistics The objective of this PhD project is to develop machine learning algorithms that perform efficiently and coherently across both classical and quantum computing platforms. The PhD
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and SUND faculties, working closely with course teams from Medialogy and Clinical Science & Technology, as well as a dedicated pedagogical postdoc. The stipend is open for appointment from 1 August 2026
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models to design adaptive, efficient, and intelligent algorithms for hearing assistive devices. Key objectives include improving speech perception in noisy and unpredictable environments, reducing