PhD Researcher: Agentic AI for Building Design

Autodesk, Inc.

United States

Hybrid

USD 48,000 - 162,000

Full time

3 days ago

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Benefits offered by this job

Paid internship

Job summary

Autodesk Research is seeking a Research Intern to explore and apply novel AI/ML technologies across design and construction domains. You will work with a multidisciplinary team to develop agentic workflows, world models, and evaluation methods, producing prototypes and benchmarks that inform future Autodesk design workflows.

The role emphasizes collaboration, experimentation, and communication of findings through papers and demonstrations.

Qualifications

Currently pursuing a PhD in Computer Science, Machine Learning, Computational Design, Architecture, Civil/Structural Engineering, or a related field, with a completion date in 2028 or later.
Research experience in AI/ML, AI agents, world models, reinforcement learning, or a related computational field.
Strong programming skills, ideally with Python and modern ML frameworks.
Experience designing computational experiments and working with complex datasets.
Strong collaboration and communication skills.]
With Autodesk tools such as Revit or Forma preferred.

Responsibilities

Research agentic workflows for AEC design and construction.
Develop methods using world models, multi-agent systems, and/or fast decision models.
Work with design, simulation, and building data, including geometry, BIM, and performance results.
Design experiments and benchmarks to evaluate AI predictions and decisions against simulation and expert judgment.
Build and evaluate research prototypes integrated with design tools.
Document and communicate findings through papers, presentations, and demonstrations.