PhD Researcher in Model-Driven Manufacturing

Job summary

This PhD position focuses on research in model-driven manufacturing of brass components through multi-step metal forming and heat treatment, in collaboration with industry. The project is part of a national initiative involving multiple companies and universities, aimed at enhancing manufacturing processes using AI and digital technologies.

Qualifications

• Strong theoretical and practical understanding of manufacturing, particularly in metal forming and heat treatment.
• Knowledge of materials' internal structure and mechanical properties, especially related to heat treatment.
• Experience in experimental work, data acquisition, and statistical analysis.
• Proficiency in numerical simulations, particularly Finite Element Method (FEM).
• Eligibility for security clearance is required.

Responsibilities

• Identify key material and process parameters for critical steps in the manufacturing process.
• Analyze materials' internal structures using microscopy and diffraction techniques.
• Develop numerical models to simulate metal forming processes.
• Design experiments and integrate sensors into production environments.
• Collect and filter data for analysis and storage.
• Link numerical models with experimental data to predict outcomes related to process feasibility and part properties.
• Propose process improvements and inline parameter adjustments to enhance manufacturing robustness.
• Assist in teaching and supervise student projects.
• Disseminate research findings through publications and presentations.

Education

• A two-year master's degree (120 ECTS points) or equivalent academic qualification is required.

Tools

• Familiarity with numerical simulation software and data analysis tools is essential.