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Challenge Novel AI framework for transport networks inspection and maintenance planning. Change Intelligent decision-making for real-world inspection and maintenance planning. Impact Infrastructure life-cycle extension for a future-proof built environment. The 3D Geoinformation Group and AiDAPT...
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Drive, curiosity and passion for research The Magnetic Resonance Systems lab (Mars lab) at TU Delft works relentlessly on the advancement of quantitative Magnetic Resonance Imaging. We are presently recruiting a PhD student to pursue their four year doctorate in our lab funded by a prestigious...
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Do you want to help shape the future of water resources engineering? Join our team as an Assistant Professor, driving innovation in water systems management and preparing the next generation of engineers for their climate and policy challenges. Key job responsibilities include: Education:...
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Are you interested in researching digitalisation and how it pushes the boundaries of engineering project work, as part of an inter-disciplinary team? Digitalisation is affecting all aspects of our lives through new technologies, processes, tasks and new forms of interactions. This research...
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In a world increasingly driven by data, healthcare facilities are undergoing profound changes, embracing new technologies to reinvent how they deliver acute care and interact with other healthcare providers. This shift enables healthcare institutions to focus on their core competencies while...
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Challenge: Developing value-based assessment methods for AI systems. Change: Driving validation of AI systems to ensure that only trustworthy models are used. Impact: Enhancing police trustworthiness. Validating models is a crucial step before decisions can be made about implementation and is...
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Challenge: Enhancing the modelling of uncertainties in policing. Change: Harnessing AI to identify and prioritise uncertainties, and predict responses. Impact: Driving police effectiveness in interventions. When fighting crime, it is crucial to be able to forecast how actors are going to respond...
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Challenge: Developing models geared to decision-making under deep uncertainty. Change: Leveraging different scopes in system dynamics modelling. Impact: Enabling decision-making geared to long-term police strategies and policies. Cutbacks in mental health, addiction and youth care, an ageing...
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Challenge: Developing system dynamics models enabling robust police interventions. Change: Leveraging basic structures to accelerate model development. Impact: Driving long-term police effectiveness at strategic, tactical and operational level. The complexity, covert nature and constantly...
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Challenge: Designing ML algorithms for detecting activities and potential security risks. Change: Harnessing data from multiple cameras and sensors. Impact: Driving efficiency in surveillance and investigations. In the security domain, one of the greatest challenges is analysing and interpreting...