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experience in scientific programming, preferably in Python. Knowledge of power system analysis and optimization (e.g., power flow and optimal power flow), as well as experience with quantum computing
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One or more PhD Positions in health system innovation Apply Vacant position One or more PhD Positions in health system innovation Aalborg Deadline : 01.11.2026 Department: Department of Health
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computing systems where artificial intelligence meets reliable embedded hardware? We are looking for a motivated PhD candidate, as part of the AI:X initiative at Aalborg University, to work at the
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system development and empirical evaluation in real world settings. You will have the opportunity to shape the project based on your interests and in collaboration with a leading architectural firm. The
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project, you will design and implement a hyperspectral imaging system tailored to bulk forensic trace analysis and develop chemometric and machine-learning models for material identification and
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optimization, and integrated Power-to-X systems. You will drive the development of system-level digital-twin and optimization methodologies, integrating electrolyzer models with renewable generation
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Intelligent Systems. The position is open to applicants to be affiliated with one of the research groups: Automated System Verification and Validation ; Distributed Sustainable Software and Systems ; Formal
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at Aalborg University Hospital. Applicants should have: A strong technical background in machine learning, computing, data science, biomedical engineering, or a related field at the level of a master
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electronic health records (EHRs), clinical guidelines, and medical literature. The second focus will be on enabling the system to synthesize evidence and translate it into actionable insights, including
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Power-to-X plants under varying operating conditions. This includes modelling electrolysers, fuel-synthesis units and supporting energy-system components and analyzing how these systems can operate