Postdocs (3) in Digitalisation and Automation in Construction - DTU Construct

The Department of Civil and Mechanical Engineering at the Technical University of Denmark (DTU) invites three excellent candidates to join our team for three full-time Postdoc positions. 

CEBE - Civil Engineering and the Green Transition in the Built Environment
If you are establishing your research profile within digitalisation in construction and are motivated to contribute to a more sustainable built environment, this Postdoc position may be of interest.

The position is part of the Villum-funded research initiative CEBE – Civil Engineering and the Green Transition in the Built Environment. CEBE is a strategic initiative funded by the Villum Foundation that seeks to strengthen research and development of sustainable solutions for the construction sector. The programme will run for 10 years and is a collaboration between University of Southern Denmark (SDU), Aarhus University, Aalborg University and Technical University of Denmark (DTU). The main aim of the project is to address the challenges of the construction sector and society in relation to the green transition.

AM2PM - Additive to Predictive Construction using Learning by Printing and Networked Robots
This Postdoc will have an exciting opportunity to work in AM2PM, an EU-funded project, on the future paradigm for the construction of multistorey buildings in which a comprehensive system-of-systems approach. AM2PM intertwines (a) networked multi-agent human-robotic systems that work collaboratively in a well-coordinated and safe manner, (b) computational design and digital manufacturing of components, (c) design of sustainable materials, (d) Artificial Intelligence (AI) models to predict and control the construction process, (e) a digital twin / information backbone that enables cohesive operation of the design and production system as a whole, and (f)  experimental validation. The role of the AM2PM Postdoc position is theoretical and experimental research that links construction site data collection with life cycle and sustainability analysis (LCA).

SmartSite - Self-monitoring, Alert, and Response Technology for collaborative construction site
The SmartSite project intends to prove that innovative technology offers more sustainable and less disruptive construction processes. This Postdoc position assists in creating project results that are expected to contribute to the following measurable outcomes by using reasoning in digital construction site design and planning, smart sensing to monitor and control construction progress, and active personalize learning : (a) Reduction in overall time spent on site for value-adding construction production, (b) increase in resource efficiency, as well as improved accuracy of on-site activities, (c) reduction in pollution caused by on-site construction worksite tasks, and (d) increase in work-related safety and health performance in heavy equipment operations compared to current best practices the general construction sector performs.

Responsibilities and tasks
The overall objective of the three positions is to contribute to the research fields on digitalisation and automation, with a particular focus on the development of an open and interoperable ontology for construction site processes, smart sensing and intelligent data analysis of construction projects.

You will work closely with academic colleagues at DTU and collaborate with industrial partners and standardisation organisations in Denmark and internationally.

Key responsibilities include contributing to one or more of the following areas: developing extensions to existing international data ontologies to support construction planning and execution, including site progress monitoring and resource and energy data; optimising lean and safe construction site operations in current and emerging work environments; or developing small-scale demonstrators based on interoperable open standards to showcase platform functionality. In addition, the position includes mandatory contributions to research dissemination through scientific publications, conferences, and engagement with industry and standardisation bodies, as well as support for research-based teaching activities, including co-supervision of MSc students where relevant.

Qualifications
Strong experience and competencies expected include at least one of the following areas:

• Data modelling, ontology development, and semantic technologies.
• Open data standards and linked data, e.g. buildingSMART and related frameworks.
• IoT/sensing devices tracking construction site resources.
• Data integration and digital construction workflows, incl. digital twins, information backbones, digital building logbooks.
• Software or code development, incl. artificial intelligence and machine