PhD Stipend in AI-supported sustainability assessment for early design processes

This PhD stipend opportunity focuses on the application of artificial intelligence (AI) to support sustainability assessment during the early stages of design processes. Candidates should have a strong foundation in AI techniques, including machine learning, data analysis, and possibly predictive modeling, to develop tools or frameworks that integrate sustainability considerations effectively into design workflows. The role requires familiarity with sustainability principles, environmental impact assessment, and the ability to translate these concepts into computational models. Experience or knowledge in early design methodologies and processes is important to ensure that AI solutions are relevant and applicable at initial design phases. The position is research-oriented, demanding strong analytical skills, proficiency in programming languages commonly used in AI research (such as Python or R), and the ability to work with interdisciplinary teams. Candidates with a background in computer science, engineering, environmental science, or related fields with an emphasis on sustainability and AI are well suited. The role likely involves literature review, experimental design, data collection and processing, model development, and validation within the context of sustainable design. Strong communication skills are essential for documenting findings and collaborating with stakeholders. Overall, this PhD stipend is ideal for candidates aiming to advance knowledge at the intersection of AI and sustainability, contributing to innovative solutions that promote environmentally responsible design practices from the outset.