PhD scholarship in Reality Capture for Digital Twinning of Built Structures - DTU Compute

DTU - Technical University of Denmark; Kongens Lyngby; In loco; DKK 430.000 - 520.000; Tempo pieno

Vantaggi offerti da questo lavoro

DTU international environment

Descrizione del lavoro

DTU - Technical University of Denmark is seeking a PhD student to develop technologies for creating building information models of existing structures. The project focuses on visual computing, machine learning, and vision-language models to extract structural information from data and photographs for BIM generation.

The successful candidate will be enrolled in the DTU Compute PhD School, affiliated with the Section for Visual Computing, and will contribute to the CEBE program under the Villum

Competenze

• Background in visual computing (computer graphics and computer vision).
• Two-year master's degree (120 ECTS) or equivalent.

Mansioni

• Contribute to visual computing research using ML and vision-language models.
• Develop methods to extract information from images and data sources to generate BIMs of existing structures.

Conoscenze

Visual computing

Computer graphics

Computer vision

Machine learning

Applied mathematics

Formazione

Master's degree (120 ECTS)

Descrizione del lavoro

Job Description

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.

Job Description

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 Computing. The Section for Visual Computing is focused on medical image analysis, geometry and appearance modelling, computer vision, multivariate statistics for images and analysis of 3D microstructures. Within these areas, our overarching research aim is to make methodological contributions of broad applicability but motivated by applications.

Qualifications

To qualify for this position, you must have a background in visual computing (computer graphics and computer vision), a good understanding of the basics of computer-aided design and machine learning. These qualifications must be underpinned by a strong background in applied mathematics.

You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree.

Approval and Enrolment

The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education.

We offer

DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility.

At DTU Compute, we have a large focus on creating a good working environment. Our work with diversity and inclusion is an essential part of that. We believe that having a good working environment is a necessary foundation to provide excellent research, teaching, supervision and innovation.

At DTU Compute, we have about 140 PhD students. We offer several events and activities for all our PhD students such as annual PhD Bazaar, onboarding course where you will meet other PhD students, and you can join our PhD Club that organizes BBQs, board games events, lunches etc.

Salary and appointment terms

The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. Please see DTU's salary structure for scientific staff: www.inside.dtu.dk/en/human-resources/during-employment/salary/salary-structures.

The period of employment is 3 years. The starting date is 1 February 2027 or according to mutual agreement. The position is a full-time position.

You can read more about career paths at DTU here.

Further information

Further information may be obtained from Andreas Bærentzen, [e-mail].

You can read more about DTU Compute at www.compute.dtu.dk.

If you are applying from abroad, you may find useful information on working in Denmark and