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learning, understand their mathematical foundations, and connect them to space-related technologies and missions. The focus is on building rigorous models that explain and predict the behaviour of modern
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the deployment of the co-development pathways. The postdoctoral researcher will work closely with colleagues developing pathways in Work Package 3, modelling and simulation tools in Work Package 2, and case
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simulated by aggregating the results of multiple vessels that together represent the corridor's traffic. Three regions will be modelled as areas of interest: the Rotterdam – Basel corridor (an open waterway
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algorithms. The relevant processes at the individual vessel level can be modelled in detail, and their performance can be tracked in time and space. Corridor scale effects will be simulated by aggregating
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activities . You can also tailor your employment conditions through our Terms of Employment Options Model. In this way, we encourage you to keep investing in your personal and professional development
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functionalities that can further improve operational performance, such as the integration of predictive models, orbital dynamics knowledge, or drag-aware optimisation strategies to enhance manoeuvre timing and
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applicant will have: A PhD in Materials Science, Applied Physics, Electrical Engineering, Chemistry or a closely related discipline. Strong background in modeling and simulation of thermal/energy systems
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closely related discipline. Strong background in modeling and simulation of thermal/energy systems, preferably including PV/T or hybrid solar systems. Hands-on experience with thin-film deposition
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to ongoing work by Dr. Megha Khosla on trustworthy graph machine learning, especially on the relationship between transparency and privacy in graph-based models. Population-scale network data are highly
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groups. The theoretical methods include stochastic modelling, MD simulation, and Bayesian inference; the position will also include joint collaborative projects with other group members and our