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, Communications Engineering, Integrated Electronic Systems, Electromagnetics and Nanoelectronics, as well as Intelligent Systems and Machine Learning. We are now looking for a new Doctoral student for work in a
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opportunities and diversity as a strength and an asset. Description of the workplace The research group for associative learning conducts research in neurophysiology and neuroscience, with a particular focus on
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applications Qualifications Requirements PhD in a relevant field such as Artificial Intelligence, Machine Learning, Computer Science, Computational Science or other field that the employer finds relevant
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assistant will primarily involve preparing and integrating large geospatial datasets, adapting and applying machine-learning models across different forest and environmental conditions, and evaluating model
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-safety analysis. The research will combine empirical crash and traffic data with statistical modelling, machine learning and traffic or driving simulation to study crash occurrence, injury severity and
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thus MLOps (Machine Learning Operations), datacentric AI, and legal and ethical aspects of AI. The empirical research catalyzes industry-academia collaboration and cross-disciplinary initiatives, in
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digital twin collection and analysis of acoustic, mechanical, and anatomical data from toothed whales development and use of computational and analysis code, with or without machine-learning components, in
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. Conduct transportation resilience assessment and enhancement studies based on GIS, complex network analysis, and machine learning. Simulate human mobility in response to extreme weather events (e.g
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employees and conducts research and teaching mainly in electrical engineering and computer technology. We are located on LTH's campus in northern Lund. Within the Division of Electromagnetics and
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security, wireless and fixed networks. The division runs several research projects through different research collaboration platforms and arranges workshops and seminar series, making the research