Thesis: Generative AI for Architectural Layout Design Remote · AI Research

Job description

neoBIM is a well-funded software start-up rethinking how architects design buildings through intelligent BIM tooling. As part of our applied research agenda, we are opening a thesis-aligned research position at the intersection of generative AI and computational architectural design. Research Area: The broad focus of this position is the application of Generative Flow Networks (GFlowNets) to architectural design problems — in particular, the generation of diverse, constraint-aware spatial layouts. The concrete research question and scope will be developed together with the candidate based on their background and academic requirements. Tasks: - Review relevant literature on GFlowNets and generative approaches to architectural layout generation - Define and refine a research question in collaboration with the team - Implement and experiment with GFlowNet-based models on spatial design tasks - Design reward functions encoding architectural constraints and objectives - Evaluate outputs in terms of diversity, feasibility, and constraint compliance - Compare against suitable baseline generative approaches - Document findings as a research report or thesis Requirements: Must have: - Stron...