Digital & Data
PhD scholarship in Reality Capture for Digital Twinning of Built Structures - DTU Compute
Resumé
The PhD researcher will develop methods using visual computing, machine learning and generative techniques to create building information models of existing structures from photographs and other data, supporting sustainable building reuse.
Læst af AI
Kort om jobbet
The aim of this project is to develop technologies for creating building information models of existing built structures. This is part of a larger goal of using digital techniques to support sustainability in construction - specifically by making it easier to repurpose buildings.
Responsibilities
You will work within the area of visual computing. Much of the work will be based on machine learning and in particular vision language models.
The use of generative methods will be central to your research whose overarching goal is to study how it is possible to extract information about a construction from photographs and other data sources and generate a precise building information model with little or no user input.
You will be affiliated with CEBE (Civil Engineering and the green transition in the Built Environment) which is a Danish cross-university research programme focusing on the sustainable development of the built environment. CEBE’s vision is to promote science-based circular, low-carbon and resilient built environment within planetary boundaries. CEBE is supported by the Villum Foundation.
You will be matriculated at the DTU Compute PhD School, employed at DTU Compute, and embedded in the Section for Visual Computing1 …
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