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, compression, learning, and inference for classical and quantum data exchanged through classical and quantum networks. The objective of the PhD study is to explore and address research and design challenges
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machine learning for safe and optimal control of cyber-physical systems. The projects are expected to be funded by the VILLUM INVESTIGATOR project S4OS (“Scalable analysis and synthesis of safe, secure and
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, evaluating, and fine-tuning machine learning models (e.g. deep neural networks) to segment underwater scenes and classify anomalies. The work will explore the use of virtual environments and synthetic datasets
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about 40 % of all employees are internationals. In total, it has more than 600 students in its BSc and MSc programs, which are based on AAU's problem-based learning model. The department leverages its
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modeling of dynamic systems. Experience with machine learning or AI methods applied to robotics (e.g. reinforcement learning for control, or data-driven modeling) is a plus, especially if applied in
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, which are based on AAU's problem-based learning model. The department leverages its unique research infrastructure and lab facilities to conduct world-leading fundamental and applied research within
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, molecular techniques and bioinformatics analysis is desirable. Experience in data analysis is advantageous. The applicant must be willing to travel for a 2-3 month research stay to learn new skills
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activities of the IKE research group, but will, as part of the GreenTraC-project, also join a cross-organisational and interdisciplinary team working on developing and implementing machine learning and natural