University of Southern Denmark
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Postdoc in AI-Improved Robotic Welding Control for Large Steel Structures University of Southern Denmark in Denmark
Degree Level
Postdoc
Field of study
Computer Science
Funding
This is a full-time, temporary 30-month postdoctoral appointment, with possible extension depending on available funding. Salary is determined under the applicable collective agreement between the Danish Ministry of Finance and the Danish Confederation of Professional Associations for academics in the state, based on the position's content, responsibilities, and qualifications. The starting salary and salary range will be provided during recruitment.
Deadline
Dec 10, 2026
Country
Denmark
University
University of Southern Denmark
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About this position
The University of Southern Denmark invites applications for a postdoctoral position in AI-improved robotic welding control for large steel structures. The appointment is based at the SDU Center for Large Structure Production (LSP), part of the Maersk Mc-Kinney Moller Institute, with the main work location at Odense Havn in Odense.
The project addresses the reduction of production costs and the scalability of floating wind turbine platforms for offshore waters deeper than 60 metres. These platforms contain large, geometrically complex steel structures assembled from prefabricated components. Their dimensional uncertainty, manufacturing tolerances, structural deformation, robot mobility requirements, and limited absolute positioning accuracy make conventional robotic automation challenging.
The postdoctoral researcher will investigate automated welding of large steel elements and develop and validate AI-enabled methods for robotic welding. The work will include compensation of geometric deviations, AI-based perception, single-shot and real-time trajectory adaptation, integration with large-scale robotic systems, and experimental validation under realistic industrial conditions. Specific research activities include designing hybrid control architectures that combine reliable classical control with modern AI, assessing open datasets for training and fine-tuning AI models, identifying sensors and hardware/software components, and validating an automated welding system on floating wind platforms.
LSP provides a physical research and development environment for construction, maritime, and energy companies to test novel production technologies. The researcher will work with approximately 20 researchers, engineers, and PhD students specializing in robot modelling, simulation, control, and application-oriented industrial systems. The group is connected to the Odense Robotics Cluster and collaborates with academic and industrial partners across Denmark and Europe, offering access to large-scale robotic equipment and hands-on research in robots, tools, sensors, and production operations.
The position combines robotics, automation, artificial intelligence, digital twins, 3D modelling, industrial control, and offshore renewable-energy applications in an international, team-oriented research environment.
Funding details
This is a full-time, temporary 30-month postdoctoral appointment, with possible extension depending on available funding. Salary is determined under the applicable collective agreement between the Danish Ministry of Finance and the Danish Confederation of Professional Associations for academics in the state, based on the position's content, responsibilities, and qualifications. The starting salary and salary range will be provided during recruitment.
What's required
Applicants should have a PhD degree in engineering with an outstanding academic track record, documented knowledge of automation and/or logistics, documented experience with simulation and Digital Twins, strong programming skills particularly in C/C++ and Python, strong mathematics skills, and practical knowledge in 3D modelling. They should be able to work independently within an agile team, demonstrate responsibility, and be willing to engage in application-oriented R&D in close interaction with company staff. Employment requires academic qualifications at PhD level at the time of appointment. Applications must be in English and PDF format and include a motivated application, CV, Master's and PhD certificates or equivalents with official English translations, a complete publication list, relevant publications, and, where relevant, teaching experience documentation; a research statement, references, and documentation of other relevant qualifications may also be included.
How to apply
Submit the application through the SDU online application portal linked in the advert. Upload the motivated application as ‘Cover letter’, the CV as ‘Resume’, and all other documents under ‘Miscellaneous documents’; all files must be unlocked, in English, and in PDF format.
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ApplyKite TwinLearns as you applyMake your next move.
Prepare your application
Review drafts and confirm requirements with the university.