Research Internship, Sustainable Architecture at Autodesk in Remote

Summary: Autodesk is a leader in software innovation, helping to create sustainable solutions across various industries. They are seeking a graduate-level research intern in sustainable architecture to contribute to AI-enabled workflows for early-stage building design, focusing on sustainability and optimization of resources. Responsibilities: - Evaluate AI-driven workflows supporting early-stage architectural design, including space and structural optimization and layout-driven analysis - Assess how design problems related to space planning, structure, materials, reuse, and carbon performance are formulated - Review and analyze the use of environmental, material, and building datasets (e.g., EPDs, carbon databases, space metrics) - Advise on improvements to computational logic, assumptions, reasoning transparency, and workflow robustness - Compare AI-generated outputs with academic research methods, parametric workflows, or in-house tools - Contribute research insights and recommendations that improve scientific rigor, usability, and design relevance - Test prototypes of multi-agent AI workflows that assess trade-offs among carbon footprint, cost, reuse, and schedule across different venue designs. Some of this work may support Autodesk's ongoing work as the Design & Make Platform of the LA28 Games with the LA28 Games - Research emerging construction and deconstruction methods, including digital material passports and workflows for design for disassembly and recovery. Some of this work may support Autodesk's ongoing work as the Design & Make Platform of the LA28 Games with the LA28 Games Required Qualifications: - Enrolled in (or recently completed) a Master's or PhD program, such as: - M.Arch with a strong computational or CS focus - SMArchS, Building Technology, or related programs - Strong background in data analysis, scripting, or computational modeling - Experience working with structured and semi-structured datasets, metrics, or optimization problems - Coursework or research experience related to sustainability, embodied carbon, materials, building systems, or space planning - Comfortable collaborating and communicating across architecture, engineering, and software teams Preferred Qualifications: - Experience with LCA, carbon accounting, or environmental datasets - Exposure to AI-assisted workflows, optimization methods, or decision-support systems - Interest in applied research and translating academic methods into scalable tools - Experience with these tools are helpful, not required - Computational Design: Grasshopper, Rhino, Dynamo - Programming: Cursor, Python, JavaScript, C#, or similar - Data & Analysis: Pandas, NumPy, Jupyter - AI / ML: Applied ML workflows, LLMs, or AI-assisted design tools - Sustainability & Building Data: EPD databases, carbon tools, LCA software Required Skills: Computational Design, Data Analysis, AI-assisted workflows Important Skills: Sustainability knowledge, Programming Python, Programming JavaScript, Programming C# Nice-to-Have Skills: Collaboration skills, Communication skills Benefits: All internships are paid., Be mentored by industry leaders, Participate in tech talks and other activities designed to support your personal and professional development.