Are you interested in contributing to the development of a digital twin for additive manufacturing (AM) of large-scale fiber composite structures?
If so, the Department of Wind and Energy Systems, Division of Materials and Components invites applicants for a postdoc or research assistant position in the area of a digital twin for robotic 3D printing of continuous fiber composites (CFCs).
Responsibilities and qualifications
The research position is part of a project funded by the Innovation Fund Denmark, which seeks to develop digital twin software that will enable virtual manufacturing for 3D printing CFC structures. The successful applicant will be a member of a larger team of university researchers working closely together with the major companies during this project, which include robotic 3D printing solution providers and end users.
The research position aims at advancing the state of the art in the area of digital manufacturing of large-scale CFC structures. The main objective of the project is to develop a new curvilinear slicing software and control software and integrate them with a numerical model to build a digital twin of the robotic printing process.
Your primary responsibilities and tasks will be to:
- Develop a slicing software for 3D printing of curvilinear CFC structures
- Integrate the slicing software with robot control software to build a digital twin of robotic 3D printing.
- Optimize the digital twin for different manufacturing process parameters, printing methods and materials.
- Disseminate the results in peer-reviewed journals
As a formal qualification, you must hold a PhD degree (or equivalent) for the Postdoc position or a MSc degree for the research assistant position. Furthermore, strong English communication skills are essential. Applicants should be highly motivated, ambitious, eager to seek and share knowledge, willing and able to work as part of a team as well as through interdisciplinary collaboration with industrial partners.
More specifically, you should have the following qualifications:
- Experience in programming with Python, C++ and software development
- Good/strong knowledge of robotic control and virtual manufacturing simulation
- Experience in 3D printing processes and fiber-reinforced polymer composite materials is a plus
Further information may be obtained from Senior Researcher Ali Sarhadi (email@example.com ) and Senior Researcher Hilmar Danielsen (firstname.lastname@example.org )
You can read more about the Department at https://wind.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 .
Your complete online application must be submitted no later than 15 June 2023 (Danish time).
To view the full announcement and to apply, click the 'Apply' button.
Postdoc Positions At Sdu Robotics , University of Southern Denmark, Denmark, about 20 hours ago
SDU Robotics , part of the Maersk Mc-Kinney Moller Institute , University of Southern Denmark (SDU), invites applications for two postdoc positions. The candidates will be integrated in the unit S...
Research Assistant In Ingestible Devices – Dtu Health Tech, Technical University of Denmark, Denmark, 22 days ago
Are you highly skilled in engineering, 3D printing and polymers? Are you motivated to be in a role where you can use both your theoretical and practical skills? Do you want to work with the develo...
Postdoc In The Field Of Dielectric Elastomer Actuators – Dtu Chemical Engineering, Technical University of Denmark, Denmark, about 6 hours ago
We are seeking a two-year postdoc in the field of dielectric elastomer actuators with research experience in silicone fibers manufacturing and actuation performance testing. Our primary objective ...
Postdoc In: Well Bore Monitoring Based On High Resolution Fiber Optic Sensing Dtu Offshore, Technical University of Denmark, Denmark, 23 days ago
We seek a highly motivated two-year Postdoc to study and develop well-bore monitoring solutions using fiber optic sensing. In this position, you will get the opportunity to apply and develop your ...
Postdoc In Deep Learning For Material Characterization From X Ray Imaging – Dtu Compute, Technical University of Denmark, Denmark, 26 days ago
Are you ready to advance deep learning methods for 3D image analysis? Would you like to collaborate on unraveling the hidden stories within the microstructure of fibrous materials? Can you envisio...
Postdoc In Machine Learning Accelerated Simulations For Battery Materials And Interfaces Dtu Energy, Technical University of Denmark, Denmark, 21 days ago
The Section for Atomic Scale Materials Modelling at DTU Energy is looking for outstanding candidates for two 2-year postdoc positions within the fields of machine learning for battery science. The...