Postdoc In Information Systems in the Built Environment

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.

Requirements:

• Motivated researcher with a PhD in Architecture, Urban Planning, Computer Science, Information Systems, Environmental Science, or a comparable domain.
• Ability to conduct high-quality academic research, reflected in demonstrable outputs.
• Proven experience with human-centric data, urban big data, and complex data visualization systems.
• Demonstrated research expertise in AI techniques (ML, transfer learning, Natural Language Processing, large language models) applied to climate change actions and the built environment.
• Experience in utilizing ontological frameworks to structure and analyze human-centric data, including conceptual structuring, entity and relationship modeling, and integration with information systems in the built environment.
• Experience in performative design and planning initiatives, along with stakeholder collaboration for informed decision-making processes.
• Experience in large-scale participation, e-participation, and digital governance to collect data and support informed decision-making.
• UI/UX experience is appreciated for developing tools to support decision-making.
• Strong interdisciplinary collaboration skills and the ability to work effectively within diverse research teams.
• Excellent teamwork skills, with a passion for coaching PhD and Master's students and working in a dynamic, interdisciplinary environment.
• Demonstrated ability to manage complex projects to successful completion on schedule.
• Excellent proficiency in English (written and verbal), with strong communication and leadership skills.

Salary Benefits:

A meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within walking distance of the central train station. In addition, we offer you:

• Full-time employment for 6 months.
• Salary in accordance with the Collective Labour Agreement for Dutch Universities, scale 10 (min. €4,020 max. €5,278).
• A year-end bonus of 8.3% and annual vacation pay of 8%.
• High-quality training programs on general skills, didactics and topics related to research and valorization.
• An excellent technical infrastructure, on-campus children's day care and sports facilities.
• Partially paid parental leave and an allowance for commuting, working from home and internet costs.
• A TU/e Postdoc Association that helps you to build a stronger and broader academic and personal network, and offers tailored support, training and workshops.
• A Staff Immigration Team is available for international candidates, as are a tax compensation scheme (the 30% facility) and a compensation for moving expenses.
   

38 hours per week

De Rondom 70