Research assistant position on Digital Twins for robotic welding in shipbuilding
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Odense M
SDU Robotics, part of the Maersk Mc-Kinney Moller Institute, University of Southern Denmark (SDU), invites applications for a fully funded position as research assistant in the area of model- and simulation-based analysis and programming of robotic welding equipment in the maritime sector. The starting date for the position is 01.12.2022 or as soon as possible thereafter. The position is expected to expire after one year and with the option to be considered for a PhD position. Main work location is Odense/Denmark at SDU and Odense Havn (Odense Port).
Research environment
The candidate will be part of the project ShipWeldFlow, a project to develop Digital Twins for robotic welding and design optimization in ship production. ShipWeldFlow is part of SDU’s newly established center for Large Structure Production (LSP). LSP’s central ambition is to provide a physical “go-to” lab for companies in the sectors maritime, construction and energy to carry out research, development and testing of novel solutions in the production of large structures, such as buildings, ships and offshore platforms. In this context, the candidate is expected to contribute to commissioning and operating the unique set of equipment of the center.
ShipWeldFlow is carried out by SDU Robotics, at the core of the Odense Robotics Cluster involving 150+ startups and established companies in robotics. We are specialized in robot solutions involving modelling, simulation and control of advanced robot technologies (systems and services) for industrial, welfare and medical applications.
Our group is involved in a variety of national and European projects and features a strong network of academic and industrial partners. We solve challenging research problems derived from real-life challenges by implementing novel robot solutions. We value teamwork, professional diligence, enthusiasm for robotics and the drive to adopt new skills and extended responsibilities. We offer an open, international team, with flexible work organization and support of individual development.
Job description
The starting point for the candidate will be to design and implement methods to i) analyze ship designs based on discrete-event simulations of robotic welding equipment and ii) program robotic welding equipment based on detailed simulations of welding tasks, including multiple robots and sensors. The candidate will then connect the methods to professional software applications for ship building and robotic welding control in order to yield a full digital workflow from overall ship design to detailed welding tasks. Eventually, the resulting solutions will make use of discrete-event simulations, 3D simulations and Virtual Reality to manage all steps of the full digital workflow by means of Digital Twins.
Profile and requirements
The candidate is expected to have most of the following qualifications:
Contact information
For further information, please contact Professor Christian Schlette via email ([email protected]) or on LinkedIn (www.linkedin.com/in/christian-schlette/).
Conditions of employment
Employment as a research assistent requires scientific qualifications at graduate level. Employment as a research assistent is temporary and will cease without further notice at the end of the period. The successful applicant will be employed in accordance with the agreement between the Ministry of Finance and the Danish Confederation of Professional Associations. Please check links for more information on salary and taxation.
The assessment process
Read about the Assessments and selection process.
Application procedure
The faculty expects applicants to read How to apply before applying. The application must be in English and must include:
The University wishes our staff to reflect the diversity of society and thus welcomes applications from all qualified candidates regardless of personal background. Further information for international applicants about entering and working in Denmark. Further information about The Faculty of Engineering.
Research environment
The candidate will be part of the project ShipWeldFlow, a project to develop Digital Twins for robotic welding and design optimization in ship production. ShipWeldFlow is part of SDU’s newly established center for Large Structure Production (LSP). LSP’s central ambition is to provide a physical “go-to” lab for companies in the sectors maritime, construction and energy to carry out research, development and testing of novel solutions in the production of large structures, such as buildings, ships and offshore platforms. In this context, the candidate is expected to contribute to commissioning and operating the unique set of equipment of the center.
ShipWeldFlow is carried out by SDU Robotics, at the core of the Odense Robotics Cluster involving 150+ startups and established companies in robotics. We are specialized in robot solutions involving modelling, simulation and control of advanced robot technologies (systems and services) for industrial, welfare and medical applications.
Our group is involved in a variety of national and European projects and features a strong network of academic and industrial partners. We solve challenging research problems derived from real-life challenges by implementing novel robot solutions. We value teamwork, professional diligence, enthusiasm for robotics and the drive to adopt new skills and extended responsibilities. We offer an open, international team, with flexible work organization and support of individual development.
Job description
The starting point for the candidate will be to design and implement methods to i) analyze ship designs based on discrete-event simulations of robotic welding equipment and ii) program robotic welding equipment based on detailed simulations of welding tasks, including multiple robots and sensors. The candidate will then connect the methods to professional software applications for ship building and robotic welding control in order to yield a full digital workflow from overall ship design to detailed welding tasks. Eventually, the resulting solutions will make use of discrete-event simulations, 3D simulations and Virtual Reality to manage all steps of the full digital workflow by means of Digital Twins.
Profile and requirements
The candidate is expected to have most of the following qualifications:
- Master degree in engineering
- Documented knowledge in industrial robotics and various types of simulation
- Strong mathematics skills and practical knowledge in 3D modelling
- Strong programming skills (particularly in C/C++ and Python)
- Ability to work independently as part of an agile team, with a strong sense of responsibility
- Willingness to engage in application-oriented R&D, by closely interacting with company staff
Contact information
For further information, please contact Professor Christian Schlette via email ([email protected]) or on LinkedIn (www.linkedin.com/in/christian-schlette/).
Conditions of employment
Employment as a research assistent requires scientific qualifications at graduate level. Employment as a research assistent is temporary and will cease without further notice at the end of the period. The successful applicant will be employed in accordance with the agreement between the Ministry of Finance and the Danish Confederation of Professional Associations. Please check links for more information on salary and taxation.
The assessment process
Read about the Assessments and selection process.
Application procedure
The faculty expects applicants to read How to apply before applying. The application must be in English and must include:
- Motivated application
- Detailed Curriculum Vitae
- Certificates/Diplomas (MSc)
- Reference letters and other relevant qualifications may also be included.
The University wishes our staff to reflect the diversity of society and thus welcomes applications from all qualified candidates regardless of personal background. Further information for international applicants about entering and working in Denmark. Further information about The Faculty of Engineering.
Information og data
Denne ledige stilling har jobtypen "Forsker", og befinder sig i kategorien "Sundhed og forskning".
Arbejdsstedet er beliggende i Odense M.
Jobbet er oprettet på vores service den 28.10.2022, men kan have været deaktiveret og genaktiveret igen.
Dagligt opdateret: Dette job opdateres dagligt ud fra jobudbyderens hjemmeside via vores søgemaskineteknologi og er aktivt lige nu.
- Forsker
- Odense M
- Torsdag den 24. november 2022
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