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Economics, Computational Science, Geography, Environmental Studies, or Engineering & Policy Analysis; Knowledge of a programming language (Python, Julia, etc) and training in any of the simulation methods
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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 Do you want to be part of a large scale national project
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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 Do you want to be part of an industry-oriented project
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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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quantitative analysis. Interest in agent-based modelling, network analysis, computational economics, systems thinking, and climate-related challenges. Proficiency in at least one programming language used
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PhD Position on Machine Learning Detection of Positive Tipping Points in the Clean Energy Transition
. This PhD will develop a machine learning module to detect early warning signals of positive tipping points from techno-economic data, helping policymakers design adaptive strategies for rapid and
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quantitative analysis. Interest in agent-based modelling, network analysis, computational economics, systems thinking, and climate-related challenges. Proficiency in at least one programming language used
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! Job description This 4-year fully funded PhD position is part of the ERC Consolidator project “Systemic physical climate risk in complex adaptive economies” (SPHINX). The SPHINX-research program is made
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has been studying any of these topics: statistical physics, computer simulation methods, and polymer physics. Proficiency in the C++ and/or Python programming language is an advantage. Good knowledge
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developing state-of-the-art methods in network analysis, connectomics, and computational neuroscience. You will collaborate within a motivated, multidisciplinary team of PhD students and postdocs with