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

DTU Compute; Kongens Lyngby; On-site; DKK 300,000 - 350,000; Full time

Job summary

DTU Compute invites applications for a PhD scholarship in Reality Capture for Digital Twinning of Built Structures. The project aims to develop technologies to create accurate BIMs of existing buildings using photographs and data sources, advancing sustainable construction.

You will be affiliated with CEBE, and embedded in the Section for Visual Computing at DTU Compute. You will be matriculated at the DTU Compute PhD School and work on vision-enabled ML methods, CAD-informed modelling, and

Qualifications

• Background in visual computing (computer graphics and computer vision).
• Strong background in applied mathematics.
• Good understanding of basics of CAD and machine learning.

Responsibilities

• Work within visual computing; use machine learning and vision-language models.
• Study how to extract information from photographs and data sources to generate a precise building information model with minimal input.

Skills

Visual computing

Computer graphics

Computer vision

Machine learning

Applied mathematics

CAD basics

Education

Master's degree (2-year) or equivalent

Job description

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

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 at DTU at DTU - Moving to Denmark. Furthermore, you have the option of joining our monthly free seminar "PhD relocation to Denmark and startup "Zoom" seminar" for all questions regarding the practical matters of moving to Denmark and working as a PhD at DTU.

All interested candidates irrespective of age, gender, disability, race, religion or ethnic background are encouraged to apply.

As DTU works with research in critical technology, which is subject to special rules for security and export control, open-source background checks may be conducted on qualified candidates for the position.

DTU Compute

DTU Compute - Department of Applied Mathematics and Computer Science - is an internationally recognised academic environment with over 400 employees and 10 research sections. We broadly cover digital technologies within mathematics, data science, computer science, and computer engineering, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction, social networks, fairness, and data ethics. Our research is rooted in basic research and centres on mathematical models of the physical and virtual world, as a basis for the analysis, design, and implementation of complex systems. We focus on ensuring that our research results contribute to creating a better society by supporting areas such as health, green transition, energy supply, and life science. We collaborate with universities, public and private organisations, and companies in Denmark and abroad, and through DTU’s startup ecosystem, we encourage innovation and entrepreneurship. We have a strong ethical, human, and sustainable approach that ensures integrity in our work. Therefore, we strive for and take responsibility for driving the democratisation of digital technologies, so that everyone has the opportunity to actively participate in the development, and we ensure a continued open, democratic, and inclusive society for the benefit of all. At DTU Compute, we value diversity, inclusion, and a flexible work-life balance. Read more here: www.compute.dtu.dk.

DTU - For the benefit of society since 1829

DTU is one of Europe's leading elite technical universities. Through research and education at an international top level, we create solutions to the major societal challenges of our time and help secure Europe's global leadership in sustainable technological development. Since Hans Christian Ørsted founded DTU almost 200 years ago, our mission has remained the same: We develop and create value through the natural and technical sciences for the benefit of society. DTU has 13,800 students, 1,600 PhD students, and 6,500 employees. We work in an international environment and have an inclusive, stimulating, and informal work culture. DTU has campuses in all parts of Denmark and in Greenland and collaborates with the best universities around the world.