PhD scholarship in Additive to Predictive Manufacturing for Multistorey Construction using Learning by Printing and Networked Robots (AM2PM) - DTU Construct
Kgs. Lyngby, Denmark
DTU - Technical University of Denmark
DTU er et teknisk eliteuniversitet med international rækkevidde og standard. Vores mission er at udvikle og nyttiggøre naturvidenskab og teknisk videnskab til gavn for samfundet.The Department of Civil and Mechanical Engineering at the Technical University of Denmark (DTU) invites an excellent candidate to join our team for this full-time position.
Responsibilities
The role in AM2PM, an EU funded research project, involves conducting innovative theoretical and experimental research in Building Information Modeling (BIM), Digital Twin Construction (DTC), robotics and computing, construction production processes, and life cycle and sustainability analysis (LCA). The successful candidate will be responsible for conducting cutting-edge research in the field of expertise, collaborating with faculty and other researchers as part of a strong interdisciplinary research team, and will be involved in collaborations with industrial partners and international academic collaborators. It is expected that the candidate can publish research findings and contribute to the academic community through seminars and conferences. Opportunities for participation in teaching and mentoring are required and will be given.
You will have an exciting opportunity to work on the future paradigm for the construction of multistorey buildings in which a comprehensive system-of-systems approach 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 manufacturing process and (e) a Digital Twin (DT) incl. Building Information Modeling (BIM) information backbone that enables cohesive operation of the design and production system.
This position is part of the EIC Pathfinder Project AM2PM: “Additive to Predictive Manufacturing for Multistorey Construction using Learning by Printing and etworked Robots” (AM2PM).
The goal of AM2PM is to develop and experimentally validate a complex digital infrastructure that integrates sustainable material design, computational structural design, 3D printing robots, sensors, safe and efficient human machine interfaces, processing units, and software components into a cyber physical construction system. The result would be transformational, achieving a 50% reduction in material use, reducing embodied carbon by up to 29 million tons and potentially savings of more than €11 billion annually in the construction of buildings.
Qualifications
You should have completed a two-year master's degree (120 ECTS points) in Civil, Architectural, Environmental, Electrical, Mechanical or Industrial Engineering, Autonomous Systems, Computer Science, or related discipline, or a similar degree with an equivalent academic level. You will be expected to have:
- Excellent written and oral communication skills
- Research and data analysis
- Excellent analytical and critical thinking skills
- Ability to work independently and as part of a team
- Knowledge of relevant research methodologies and tools
If you want to be successful you are expected to be self-motivated and to publish your results in international peer-reviewed journals.
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.
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 of at least one of the following areas:
- Construction production engineering
- Construction informatics, and in part related to Building Information Modelling (BIM), ontologies, process modeling, databases, open data standards such as Industry Foundation Classes (IFC), and linked data
- Sensors as part of Internet of Things (IoT) and integration of sensory information in simulation models as part of Digital Building Twins (DBT) during run-time
- Life cycle and sustainability analysis (LCA)
- Data processing, incl. artificial intelligence and machine learning
- Serious gaming incl. AR/AV/VR
- Automation and robotics, incl. human-machine interaction
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.
Assessment
The initial assessment of the applicants will be made by Professor Jochen Teizer.
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.
Salary and appointment terms
The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union.
The period of employment is 3 years. An envisioned start date is from 1 August 2025 or as soon as possible.
You can read more about career paths at DTU here.
Further information
Further information may be obtained from Prof. Jochen Teizer at teizerj@dtu.dk.
You can read more about the Department of Civil and Mechanical Engineering at www.construct.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.
Application procedure
Your complete online application must be submitted no later than 25 May 2025 (23:59 Danish time). Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link "Apply now", fill out the online application form, and attach all your materials in English in one PDF file. The file must include:
- A letter motivating the application (cover letter)
- Curriculum vitae
- Grade transcripts and BSc/MSc diploma (in English) including official description of grading scale
You may apply prior to obtaining your master's degree but cannot begin before having received it.
Applications received after the deadline will not be considered.
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 Mechanical Engineering covers the fundamental engineering disciplines within Solid mechanics, Fluid mechanics, Coastal and Maritime Engineering, Energy systems and energy conversion, Materials and Surface Engineering, Manufacturing Engineering, Engineering design and Product development. The department has a scientific staff of about 135 persons, 100 PhD students and a technical/administrative support staff of about 80 persons.
Technology for people
DTU develops technology for people. With our international elite research and study programmes, we are helping to create a better world and to solve the global challenges formulated in the UN’s 17 Sustainable Development Goals. Hans Christian Ørsted founded DTU in 1829 with a clear mission to develop and create value using science and engineering to benefit society. That mission lives on today. DTU has 13,500 students and 6,000 employees. We work in an international atmosphere and have an inclusive, evolving, and informal working environment. DTU has campuses in all parts of Denmark and in Greenland, and we collaborate with the best universities around the world.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Computer Science Data analysis dbt Engineering Industrial Machine Learning Matlab Open Source PhD Python Research Robotics Security Teaching VR
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