Research Internship Work-Study

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
Employment Type : Employee
Experience: years
Vacancy: 1