46 molecular-dynamic-simulation PhD positions at Delft University of Technology (TU Delft)
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enriched with additional time and scale dimensions for dynamic, space- and time-adaptive simulations. Managing this n-dimensional data efficiently is a central challenge. In your PhD research, you will
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computational fluid dynamic simulations can currently resolve spatial and temporal scales of industrially-relevant turbulent flows within days/weeks. On the other hand, typical design cycles in industry still
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2 Oct 2025 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Engineering » Process engineering Engineering » Simulation engineering Researcher Profile
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the system dynamics as dictated by demand-side management. Input from consortium industry partners on component, operational and other costs will be used to validate the techno-economic models and quantify
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Harnessing Nonlinear Dynamics: From Data-Driven
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PhD Position on Machine Learning Detection of Positive Tipping Points in the Clean Energy Transition
11 Nov 2025 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Computer science » Programming Engineering » Simulation engineering Environmental science
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11 Nov 2025 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Economics » Environmental economics Economics » Financial science Engineering » Simulation
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and macroscale structural dynamics. As a PhD candidate, you will focus on the identification and modeling of friction damping and energy dissipation in assembled structures. Your work will combine
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contrast, analysis of systemic risks embraces complex interactions among elements/agents, adjusting expectations, mechanisms of contagion dynamics, feedbacks, and non-linear tipping. The SPHINX research
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the vehicle fleet and the multi-objective design of the mixed transporation network. Our key hypothesis is that it is possible to design a mixed network by simulating how to serve a given demand with an