Schaan, Liechtenstein
Internship Explorer
Internship Explorer
Steel frame structures support building elements like water pipes, cable trays or vent systems. As part of an overall building structure, they need to meet requirements concerning the supported load, but also overall cost and ease of installation. Currently, human workflows dominate the construction process, where CAD and calculation tools build the foundation. Countless hours are spent on the manual design of thousands of such supports in a building. The role includes the full creative process from research to implementation and analysis to automate this process. You will start with a literature research and prioritization of approaches for Generative AI. The goal is to implement the most promising approaches on our existing company data/simulation environments, evaluate them and iterate. Our Machine Learning team will give you guidance and support. The internship/thesis will be part of a larger project, so that you can have a direct impact, but also learn from experienced engineers in the field. This internship/thesis aims to develop Machine Learning algorithms that bring us closer towards full AI generation of structural assemblies (steel frames). You will explore state-of-the-art methods, develop promising approaches and apply them to existing datasets or RL environments. You will be part of an innovative Machine Learning Team at Hilti working on cutting edge research. Prerequisites for your work, like access to the database, access to tools, training environments, and compute, will be already set and you will be ready to go. Teamwork, creativity and motivation are crucial for us, and we would like participants who pair this with a strong academic background in Machine Learning.
