Germany onlyResearch Internship / Work-Study at neoBIM, a start-up software company that is revolutionizing the way architects design buildings with innovative BIM software. The role involves developing generative AI models for architectural design tasks and may be aligned with academic research or thesis work.
Requirements
- Implement GFlowNet-based generative models for architectural design tasks
- Represent architectural layouts, massing, or spatial graphs as sequential decision processes
- Design and test reward functions encoding architectural constraints and objectives
- Generate and evaluate multiple architectural design alternatives
- Analyze results in terms of diversity, feasibility, and performance
- Compare GFlowNet approaches with baseline generative or reinforcement learning methods
- Contribute to documentation, experiments, and research deliverables
Benefits
- Hands-on experience with state-of-the-art generative AI models
- Exposure to AI-driven architectural design workflows
- Development of a research-grade generative design pipeline
- Opportunity to contribute to academic or applied research outputs
- Potential alignment with a Master’s thesis or capstone project
