Research Assistants – Digital Twins & Smart Building Management

Job Description

Position Overview:
We are seeking multiple Research Assistants to contribute to cutting-edge research in Digital Twins, IoT, AI, BIM modeling, embedded systems, and sustainability for smart building management. Each Research Assistant will specialize in a specific domain, playing a critical role in developing, integrating, and optimizing smart building technologies.

Key Responsibilities:
• AI Model Development & Data Visualization – Develop AI-driven predictive analytics, real-time data visualization, and decision-support tools.
• BIM Modeling & IoT Integration – Integrate IoT data into 3D BIM-based digital twins, ensure data security, and validate system performance.
• Embedded Systems & Hardware – Deploy and validate digital twin platforms, manage real-time data acquisition, and draft technical reports.
• Sustainability & Energy Efficiency – Optimize energy use, align with sustainability goals, and evaluate building performance.
Qualifications & Requirements:
• Bachelor’s or Master’s degree in a relevant field.
• Experience in AI, IoT, BIM modeling, embedded systems, or energy efficiency.
• Strong programming, data analysis, and visualization skills.
• Familiarity with digital twin applications in smart buildings.