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-driven planning), and technical tools (GIS, CIM, urban analytics). Must integrate research with teaching, mentoring students in methodologies like life-cycle assessment and scenario planning. Commitment
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project-based learning.Knowledge of Sustainable Urbanism (low-carbon design, climate adaptation), Smart Cities (digital twins, AI-driven planning), and technical tools (GIS, CIM, urban analytics).Must
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in the following designing tools: Unity, Blender, Processing, Maya, Unreal Engine, TouchDesigner, Houdini. Having proficiency in the following programming languages: C#, Python, JavaScript. Experience
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, Houdini. Having proficiency in the following programming languages: C#, Python, JavaScript. Experience Essential Preferably three years of teaching experiences in higher education institutions. Having
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, Houdini. Having proficiency in the following programming languages: C#, Python, JavaScript. Experience Essential Preferably three years of teaching experiences in higher education institutions. Having
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, data science and analytics, or be able to demonstrate an equivalent professional practice and engagement. Previous experience in coding (C/C++, Python, ROS etc) in robotics-related domains. Self
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vision, mobile robotics, machine learning, data science and analytics, or be able to demonstrate an equivalent professional practice and engagement. Previous experience in coding (C/C++, Python, ROS etc
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numerical simulations (matlab/python/mathematica). Key Requirements: • Hold a Master's degree (Bachelor's degree will also be considered) with outstanding performance in Physics or related fields from a
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coding (C/C++, Python, ROS etc) in robotics-related domains. Self-motivated for innovative teaching. Clear understanding of the philosophy and concept of Syntegrative Education (SE). Demonstrable past
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theory and numerical methods, with experience in HPC programming (e.g., C++, Python, MPI, OpenMP, CUDA) and parallel computing environments. - Experience in performance analysis, debugging, and deployment