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Vacancies PhD position on Dependability Driven on Device Learning Algorithms for Embedded Neuromorphic Architectures Key takeaways Edge devices that can learn autonomously while guaranteeing
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Vacancies PhD position Sensor based modelling of social and physical activity in high schools Key takeaways In this PhD research, you will specifically focus on the design of machine learning and
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monthly colloquia with invited speakers, allowing students to learn from experts in the field. Additionally, we hold annual meetings to discuss departmental updates and for the students to share recent
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. Through our bachelor’s and master’s degrees, Professional Learning & Development programmes, and interdisciplinary research themes – including Emerging Technologies & Societal Transformations, Resilience
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freedom to establish a course of action together with their advisors. What is a given is the measurement-based approach and use of machine-learning (e.g., feature engineering, clustering, NLP, LLMs
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models and algorithms requires working at the intersection of machine learning and mathematical optimization. Evaluating such algorithms requires close interaction with our industrial project partner from
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knowledge on using games in multi-stakeholder decision-making by researching to what extent the game enables stakeholders to co-develop and assess sand nourishment strategies and facilitates social learning
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science, human technology interaction, and machine learning. You will be working at the Human Media Interaction group in which computer science meets social science to investigate, design, and evaluate
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of extreme weather events and land use change on vegetation seasonality and efficiency. For this, you will develop and apply geo-artificial intelligence methods, including spatiotemporal machine learning
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to support work-life balance, that may include contract of employment, working hours and location, or child care arrangements. Please have a look at this video to learn about our wider HBE department: The High