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employees and 10 research sections. We broadly cover digital technologies within mathematics, data science, computer science, and computer engineering, including artificial intelligence (AI), machine learning
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academic colleagues and contributing to didactic development are therefore essential. In addition the assistant professorship or associate professor must work in continuation of the projects https
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, bioinformatics, aging biology, epidimological data and AI-driven systems modeling. The successful candidate will develop and apply computational and machine learning approaches to decode the molecular and
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Machine Learning in Photonic Systems
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computer science. The candidate is expected to have solid knowledge in most of the following areas: Robotics Control theory Deep Learning & Machine learning Modelling and control of soft/continuum robots Experience
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computer engineering, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction, social networks, fairness, and data ethics
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, Machine Learning for photonic systems, as well as Photonics in general. Your track record proves your position as an internationally recognized researcher in your field and confirms your ability to lead
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the Department of Electrical and Computer Engineering, please visit https://ece.au.dk/ . Visit our LinkedIn: https://www.linkedin.com/company/au-ece/ Research areas in the department Electrical and
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. Experience with machine learning techniques for neural data analysis. Track record of publications in high-impact journals and successful grant applications. Work Environment: This position is part of a
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: https://ece.au.dk What we offer The Department of Electrical and Computer Engineering offers: An exciting opportunity to work on cutting-edge research in IoT systems and critical infrastructure monitoring