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PhD Position in Causal Agent-based Modelling of Complex Social Systems Faculty: Faculty of Science Department: Department of Information and Computing Sciences Hours per week: 36 to 40
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Apply now This PhD position is on logical modelling of accountability and responsibility of agents. It is part of the ELSA (Ethical, Legal, & Societal Aspects of AI) lab on Legal, Regulatory, and Policy
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integrated into routine occupational hygiene practices and to validate the resulting risk models. The project will be conducted in sectors where exposure to biological agents is likely and where ongoing
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working closely with collaborators; familiarity with or a keen interest in developing mechanistic models of dynamical biological systems (differential equation-based modelling, agent-based modelling
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authorities? Then read on! As researcher data analysis and modelling of emissions of crop protection agents in relation to spray technology and environmental assessment you will contribute to new developments
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that would give you an advantage) Experience in computational modelling (e.g., agent-based Bayesian models, cognitive learning models, machine learning, robotics). Experience in annotation software such as
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of the PhD student based at CWI in Amsterdam will study integrated hydrogen-electricity markets. In particular techniques from Artificial Intelligence and multi-agent systems for modelling new types of markets
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. Examples of topics include algorithmic fairness in network analysis, developing network embedding frameworks for real-world network datasets or AI models based on agentic LLMs for simulating real-world
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with established causal models. Ultimately, you will design algorithms for causality-based analysis and counterfactual recovery of liveness violations. Information and application Are you interested in
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data is lacking. With the DataLibra project, we aim to close this gap, by developing AI models and tools for structured data (Table Representation Learning), to help organizations, of any size, domain