Research Internship Work-Study
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Job Location:
Monthly Salary:
Posted on:
10 hours ago
Vacancies:
1 Vacancy
Job Summary
neoBIM is a well-funded start-up software company revolutionizing the way architects design buildings with our innovative BIM (Building Information Modelling) software. As we continue to grow we are building a small and talented team of developers to drive our software forward.
This internship focuses on the application of Generative Flow Networks (GFlowNets) to architectural design and spatial generation problems. The role involves developing generative AI models that can sample diverse constraint-aware architectural solutions supporting early-stage design exploration and research-driven prototyping.
The position is suitable for Masters-level students interested in the intersection of architecture AI and computational design and may be aligned with academic research or thesis work.
Tasks
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
Requirements
Required Skills
Experience with Python and PyTorch
Familiarity with machine learning and reinforcement learning concepts
Interest in computational architecture or generative design
Ability to work independently on research-driven tasks
Strong analytical and documentation skills
Technical Stack
Machine Learning
Python
PyTorch
NumPy
Generative Modeling
GFlowNet implementations
Reinforcement learning fundamentals
Computational Design
Graph libraries (NetworkX PyTorch Geometric)
Geometry processing tools (shapely trimesh)
Optional: Rhino / Grasshopper
Development
Jupyter Notebooks
Git / GitHub
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 Masters thesis or capstone project
If you are passionate about building cutting-edge software and want to be part of a company that is transforming the architecture industry we would love to hear from you. 49 176 Felix
Key Skills
- Laboratory Experience
- Spss
- Data Collection
- DNA Isolation
- Stata
- Biochemistry
- Qualitative Research Interviewing
- Research Experience
- Statistical Software
- Molecular Biology
- Research Laboratory Experience
- Western Blot
