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- Delft University of Technology (TU Delft)
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- Delft University of Technology (TU Delft); Published today
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Field
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. Previous experience with agent-based modelling or other simulation approaches is required. Completed a well-written master's thesis which demonstrates comfort with conceptual abstraction as well as practical
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agent-based models (ABM) to simulate how people move, make activity choices, and interact with their environment; ultimately helping to design equitable, active, and healthy urban spaces. Besides that
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to agent-based and computable general equilibrium modeling, led by five team members. The first three pillars concern the development of computational agent-based models to explore three different channels
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costs. The project focuses on Europe, with a detailed analysis of three selected case-study regions. Methodologically, SPHINX embraces five pillars, ranging from data collection to agent-based and
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elements/agents, adjusting expectations, mechanisms of contagion dynamics, feedback loops, and non-linear tipping of system dynamics. The SPHINX research program aims to fundamentally advance simulation
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volatile geopolitics. Shortages, trade frictions, and financial mismatches can stall otherwise viable tipping dynamics and establish carbon-intensive lock-ins. This PhD will develop an agent-based inspired
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sciences, economics and regulation. Job description The project of the PhD student based at CWI in Amsterdam will focus on techno-economic models (and in particular multi-agent modeling) of energy exchange
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volatile geopolitics. Shortages, trade frictions, and financial mismatches can stall otherwise viable tipping dynamics and establish carbon-intensive lock-ins. This PhD will develop an agent-based inspired
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high infrastructure costs. We will explore (1) learning-based techniques (e.g., LLMs, agents) to capture the intent behind code changes, (2) defining new metrics for test "quality" that go beyond code
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to establish a roadmap, (2) developing models and benchmarks for LLM-based refactoring, (3) designing autonomous agents, and (4) conducting studies to analyse real-world impact. We are committed to creating a