Postdoc Position on Planning of Coordinated Robotic Shipbuilding Operations

at  Syddansk Universitet

SDU Center for Large Structure Production (LSP) , part of the Maersk Mc-Kinney Moller Institute , University of Southern Denmark (SDU) , invites applications for one or more fully funded postdoc positions in the area of model- and simulation-based planning and control of robotic shipbuilding operations (such as hull welding). The positions will be vacant from 1 November 2024, or as soon as possible thereafter, and is for a 2-year period. Main work location is Odense/Denmark at SDU and Odense Havn (Odense Port).
The application deadline is 22 September 2024 at 11.59 PM/23.59 (CET/CEST)

JOB DESCRIPTION

The postdoc position is associated with a project in the maritime sector. The overall objective of the project is to develop, control and demonstrate LSP’s multi-robot/multi-purpose gantry system for executing central shipbuilding operations, such as hull welding. The main activities in the project will be industrial R&D tasks carried out by LSP’s engineers in close collaboration with company partners.
The starting point for the candidate to develop their academic profile in LSP will be to work on so-called “zero programming” methods and tools to define a digital workflow from product design to production operations. Based on analyzing ship designs based on discrete-event simulations of their production, the candidate will develop detailed quasi-continuous 3D simulations of the required production operations, including multiple robots, tools, and sensors. Facilitating Digital Twins, these 3D simulations will then be further developed into control of the physical assets in LSP’s unique multi-purpose/multi-robot gantry system.

PROFILE AND REQUIREMENTS

The candidate is expected to have most of the following qualifications:

• PhD degree in engineering with outstanding academic track record.
• 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.
• Documented knowledge in 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.

In close teamwork with our researchers and staff from our industrial partners, the candidate will grow a hands-on expertise in robotic production operations, including robots, tools, and sensors.

Please refer the Job description for details