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considered has demonstrated knowledge of experimental economics generally, and the behavioral bias, heterogenous agents model, asset pricing and decision making in the financial market in particular has
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courses in the area of Information Systems and Computer Science, in particular, courses such as: Agentic AI for Intelligent Autonomy Masters degree or PhD degree in a closely related discipline from a well
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programme and coursework Masters and continuing education programmes (e.g., MSc and Professional Certificate in Applied GIS and MSc in Climate Change and Sustainability). A cross-disciplinary program in
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problems, linking regional planning, urban design, and building systems. Knowledge of data-driven methods and tools (AI, GIS, parametric modelling) for predictive and evidence-based modelling will be
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& Optimization, including large-scale optimization and meta-heuristics; economic paradigms (game theory, mechanism design, electronic markets); agent modeling and simulation; agent planning, scheduling and
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discipline Strong record of research and relevant publications in reputable peer-reviewed international journals A good track record of supervising research staff, postdocs, students, and interns in relevant
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career coaching/counselling/career services/graduate recruitment/human resources/executive search/learning and development. 2. Change agent and constantly initiating new ideas within the College-level team
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or a related discipline Strong record of research and relevant publications in reputable peer-reviewed international journals A good track record of supervising research staff, postdocs, students, and
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Power Platform and Outsystems. Knowledge of AI-assisted coding such as GitHub Copilot or agentic coding frameworks. Relevant experience with databases such as Oracle, Postgres. Possessing the following
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talks, awards, or memberships in professional societies. A good track record of supervising students, research staff, and/or postdocs. Demonstrated capacity to contribute to curriculum development and