The Department of the Built Environment invites applications for a dynamic Postdoctoral position within the Information Systems in the Built Environment group. This role centers on pioneering Multi-Ontology AI-based Facility Digital Twins, integrating cutting-edge AI techniques—including machine learning, reinforcement learning, and transfer learning—into research and educational frameworks.
Key Responsibilities:
- Conduct ontological research focusing on spatial dynamics, inter-process interactions (e.g., shared resources and power consumption), and human operator behaviors.
- Enhance and transform Industry 5.0 initiatives by prioritizing worker engagement, perception, and accessibility, recognizing the critical role of the human element in technological advancements.
- Prepare the methods and tools developed for manufacturing environments in this ontological research for subsequent application to urban scales.
- Apply the developed technologies and systems to both existing and new building stocks to enhance resilience and sustainability in response to climate action demands.
Impact:- Your contributions will directly support climate action initiatives by utilizing the information systems and technologies developed in this research to address challenges within the built environment at various scales, with an emphasis on sustainability and environmental impact.
You will be an integral part of a vibrant research group dedicated to pushing the boundaries of information systems in the built environment. This position is designed to appeal to a broad range of applicants, ensuring a balanced focus on both technical and social dimensions of the role.