PhD: Digital Twin SHM for Thermoplastic Joints

Enschede; Enschede; On-site; EUR 36,000 - 45,000; Full time

Benefits offered by this job

Holiday allowance 8%

End-of-year bonus 8.3%

Pension scheme

Job summary

The University of Twente in Enschede invites applications for a fully funded 4-year PhD position focused on experimental characterization and digital twin development for welded thermoplastic composites.

You will characterize static and fatigue behavior, develop constitutive models, and implement them in commercial FE software to build the digital twin. Collaboration spans sensor integration for structural health monitoring and data-driven prognosis.

Qualifications

• Master’s degree in Mechanical or Aerospace Engineering.
• Experience in fatigue testing of composites or polymers.
• Experience with FE modelling and scripting (Python/ Matlab).

Responsibilities

• Characterize static and fatigue behavior of welded thermoplastic composites.
• Develop constitutive models for welded interfaces and implement in FE.
• Validate models against experiments and build a digital twin.
• Develop sensor integration for structural health monitoring and data analysis.
• Collaborate in a multi-year PhD project with team members.

Skills

Fatigue testing

Finite element modelling

Python scripting

Matlab scripting

Education

Master’s degree in Mechanical/Aerospace Engineering

Tools

Finite Element Software

Job description

The University of Twente in Enschede invites applications for a fully funded 4-year PhD position focused on experimental characterization and digital twin development for welded thermoplastic composites.

You will characterize static and fatigue behavior, develop constitutive models, and implement them in commercial FE software to build the digital twin. Collaboration spans sensor integration for structural health monitoring and data-driven prognosis.