AI-assisted design tools
The research will focus on developing AI-assisted methods for parallel hardware-software co-design of mechatronic systems, enabling virtual prototyping and simulation-driven development from early design stages.
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The candidate will develop methods that bridge mechanical, electrical, and control domains, improving design quality, traceability, and decision-making. The resulting virtual prototypes will establish the digital foundation that can evolve into digital twins upon physical deployment.
The research will be conducted in close collaboration with industry partners and fellow PhD candidates across the three partner universities. In particular, the candidate will work closely with a PhD candidate at NTNU focusing on AI-assisted concept and architecture exploration in product and system design. The candidate will work within an industry-as-laboratory approach and is expected to contribute to the CELECT research community, including reporting progress and delivering outputs to the centre.
The position is connected to the scientific field of Mechatronics, within the Specialisation in Engineering Sciences.
A prerequisite for employment is that the candidate is to be admitted to UiA’s PhD programme at the Faculty of Engineering and Science.
Facts and resources
- PhDs
- Employees
- Budget
- UiA