Real-Time Simulation of Friction Welding Processes for Digital Twin Development
Develop real-time simulation models for linear friction welding to advance digital twin applications in manufacturing.
Best for:Best for mechanical or manufacturing engineering PhD candidates with expertise in computational modeling, simulation, and digital twin technologies, interested in advancing industrial process optimization.
Overview
This PhD position focuses on advancing real-time simulation techniques for friction welding processes, specifically linear friction welding (LFW). The project aims to create digital twins—virtual replicas of physical systems—to optimize manufacturing workflows. The successful candidate will work under the supervision of a research team in Occitanie, France, to design and implement computational models that simulate friction welding dynamics. The work will involve interdisciplinary collaboration between engineering, simulation, and digital twin technologies. Applicants should have a strong background in mechanical or manufacturing engineering and a passion for computational modeling and digital transformation in industrial processes.
What you'll do
- Develop real-time simulation models for friction welding processes, focusing on linear friction welding (LFW).
- Design and implement computational models to replicate physical friction welding dynamics accurately.
- Collaborate with industry partners to integrate simulation results into digital twin frameworks for manufacturing optimization.
- Conduct experimental validations to ensure the accuracy and reliability of simulation models.
- Publish research findings in peer-reviewed journals and present results at international conferences.
- Contribute to the development of novel methodologies for real-time process monitoring and control in manufacturing.
Requirements
Degree required: Master's degree (or equivalent) in Mechanical Engineering, Manufacturing Engineering, or a related field.
Degree offered: PhD
Language: French and English proficiency; French may be required for local collaboration.
Instruction: French and English
- Strong background in computational modeling and simulation software (e.g., ANSYS, ABAQUS, or similar).
- Experience with finite element analysis (FEA) or computational fluid dynamics (CFD).
- Proficiency in programming languages such as Python, MATLAB, or C++ for model development.
- Knowledge of digital twin technologies and their applications in manufacturing.
- Familiarity with experimental techniques for validating simulation models.
- Open to international applicants.
- No specific residency or nationality restrictions mentioned.
Funding & terms
How to apply
Deadline: 2026-11-23
Applicants should submit their application through the Campus France portal. The application package typically includes a CV, a cover letter, academic transcripts, and a research proposal outlining the candidate’s approach to the project. Additional documents may be requested depending on the specific requirements of the funding body or institution.
- CV
- Cover letter
- Academic transcripts (BSc and MSc)
- Research proposal or statement of purpose
- Letters of recommendation (if required)
Create a free profile to unlock your personal match score, the full requirements, funding details and how to apply — in English or Persian.