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Field
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to create smart, sustainable, and equitable mobility systems. In our 12 collaborative labs we apply advanced technologies such as sensing, data analytics, modelling, and AI to turn scientific research
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agreement (CAO) choice model. As Maastricht University, we offer various other excellent secondary employment conditions. These include a good pension scheme with the ABP and the opportunity for UM employees
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can focus on learning for planning, risk-aware motion planning under uncertainty, learning of interaction models, multi-robot learning, multi-modal prediction models, or other related topics
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wide range of resources and is mostly not publicly available. While sharing proprietary data to train machine learning models is not an option, training models on multiple distributed data sources
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Decision Analysis/Aiding (MCDA). It (i) provides state-of-the-art, adaptable and transparent strategies to formulate, model and support better decision-making, (ii) develops and applies decision support
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accumulate compensation hours, an additional 12 days will be added. Furthermore, you can personalize your employment conditions through a collective labor agreement (CAO) choice model. As Maastricht University
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, adaptable and transparent strategies to formulate, model and support better decision-making, (ii) develops and applies decision support tools to tackle sustainability and resilience-related challenges, and
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acquire the right part of a specific course in a cost-efficient way. The aim of the project is to design new analytical and simulation models and solution approaches to support strategic and real-time
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allowance and 8.3% end-of-year bonus optional model for designing a personalized benefits package a wide range of sports facilities which staff may use at a modest charge contribution to commuting expenses
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access to additional employee benefits through our Terms of Employment Options Model. In this way, we encourage our employees to continue to invest in their growth. For more information, please visit