|Location:||Lyngby - Denmark|
|Salary:||Based on the collective agreement with the Danish Confederation of Professional Associations|
|Placed On:||22nd March 2023|
|Closes:||15th April 2023|
The Department of Civil and Mechanical Engineering (DTU Construct) at the Technical University of Denmark (DTU) invites excellent candidates to join our research team:
A successful candidate will have an exciting opportunity to work as part of a team on multiple research projects related to digital twins for autonomous and safe construction production, for example, digital fabrication, tracking progress, monitoring emissions, proactive safety and health, and personalized learning environments.
The selected candidates will work on the core parts of digital twins and related applications. The general theme for the positions is the utilization of smart technologies for monitoring construction resources (i.e., personnel, equipment, temporary assets) and integration of data to its real-time status in a Digital Twin platform. The purpose is to explore information modeling and deep learning-based sensor fusion methods to gather and analyze data from multiple different type of sensors in the work environment or onboard autonomous mobile robotic machines. The multi-mode perception system needs to operate under the very harsh environmental and lighting conditions that exist in the constructions sector (e.g., dynamic progress, indoor/outdoor, above- or underground). The research topic of this project stands at the intersections of building information modeling, human-machine interaction, machine learning, computer vision, remote sensing, and automation and robotics.
As part of our research team, you will lead efforts in at least one of the following areas:
We seek excellent candidates with backgrounds in: Civil, Mechanical, Electrical, Computer and Software Engineering or Sciences, or related discipline such as Architectural Engineering. Candidates must have completed their Ph.D. degree in or a closely related field.
A desire to engage in cross-disciplinary research at the intersections of civil, mechanical, electrical engineering and computer science is important. It will be relevant to have deep experience with at least one of the following areas:
Having experience in publishing scientific results as well as working with industry is considered an asset in these positions.
Applicants must also be able to demonstrate excellent ability to code with or learn computer programming languages, such as C++, C#, Python, and/or Matlab.
Read the full job advertisement and apply, by clicking the 'Apply' button.
Deadline: 15 April 2023 (Danish time).
Type / Role: