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. The main research themes are Artificial Intelligence, Computational Science, and Systems and Network Engineering. Our research involves complex information systems at large, with a focus on collaborative
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, we strive for equal opportunities for all, recognizing that diversity takes many forms. We believe that diversity in all its complexity is invaluable for the quality of our teaching, research and
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Bilevel programming (BP) is a powerful mathematical framework for modeling hierarchical decision-making processes involving two players: a leader and a follower. In energy network design, for example
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of new components for SmallSat missions, facilitate the integration of complex hardware and test the complete mission in all development phases. You will have a key role in the validation and verification
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with industry, the public sector and NGOs we rehearse possible futures in research and education to design for a complex future. Click here to go to the website of the Faculty of Industrial Design
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stakeholder analysis, using methods such as literature review, qualitative interviews, and network analysis to identify key actors, trust flows, and governance dynamics. Building on these insights and those
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this position, you will develop high-fidelity block-based numerical models capable of representing the geometric and mechanical complexity of historical multi-wythe masonry. Your work will involve analysing how
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and/or social policy evaluation, and can: Carry out independent empirical research at a high academic level, from data cleaning to publication-ready analysis. Work effectively with large, complex
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, or materials informatics. Familiarity with explainable AI or counterfactual explanation methods. Experience with molecular dynamics data, graph neural networks, or multi-component system modelling. Track record
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those skills to complex cultural questions. The fulltime position is for 18 months, starting May 1st, 2026. The project is funded by CLICKNL. What are you going to do Construct and analyze longitudinal