PhD CIFRE: Cold Spray Process Modeling for Industrial Applications - Job Opportunity at Safran

Évry, France
Full-time
Entry-level
Posted: May 6, 2025
On-site
EUR 35,000-42,000 per year (standard CIFRE PhD compensation package in France)

Benefits

Research-focused work environment
Industry-academic partnership through CIFRE program
Access to advanced research facilities
Opportunity to work with cutting-edge aerospace technology
Professional development in both academic and industrial contexts

Key Responsibilities

Develop numerical models for cold spray processes in aerospace applications
Conduct experimental validation of modeling approaches
Optimize process parameters for complex geometric applications
Contribute to digital transformation initiatives
Support repair and manufacturing process improvements for aircraft engine components

Requirements

Education

Master's degree in research or engineering with specialization in numerical simulation or manufacturing processes

Experience

Entry-level with research background

Required Skills

Numerical simulation expertise Manufacturing process knowledge Materials science understanding Python programming English language proficiency Research methodology Innovation mindset Rigorous approach Proactivity Autonomy
Advertisement
Ad Space

Sauge AI Market Intelligence

Industry Trends

Digital twin technology is becoming increasingly critical in aerospace manufacturing, with major players investing heavily in simulation capabilities Sustainable repair and maintenance processes are gaining prominence as airlines seek to extend component lifecycles Advanced materials and coating technologies are driving innovation in aircraft engine manufacturing

Role Significance

Likely part of a specialized research team of 5-8 members, working across academic and industrial environments
Entry-level research position with significant technical depth and industrial application potential

Key Projects

Development of digital twins for manufacturing processes Process optimization for aerospace component repair Integration of simulation tools into industrial workflows

Success Factors

Strong foundation in both theoretical and practical aspects of manufacturing processes Ability to bridge academic research with industrial applications Excellent communication skills to work across organizational boundaries Strong analytical and problem-solving capabilities

Market Demand

High demand for specialists in advanced manufacturing processes and simulation, particularly in aerospace sector

Important Skills

Critical Skills

Numerical simulation expertise is essential for developing accurate process models Materials science knowledge is crucial for understanding cold spray behavior Python programming skills are necessary for implementing and validating models

Beneficial Skills

Project management capabilities Data analysis and visualization skills Knowledge of aerospace industry standards and practices Experience with CFD software

Unique Aspects

Combination of academic research with direct industrial application
Access to advanced aerospace manufacturing facilities
Opportunity to contribute to next-generation aircraft engine development
Work spans both theoretical modeling and practical implementation

Career Growth

3 years for PhD completion, with potential for direct industrial position afterward

Potential Next Roles

R&D Engineer in Aerospace Process Development Specialist Manufacturing Technology Expert Research Team Leader

Company Overview

Safran

Safran is a leading international high-technology group in aerospace and defense, with significant R&D investment and global presence

Second-ranked company in aerospace and defense sector according to TIME's World's Best Companies 2024
Major employer in French aerospace sector with significant research facilities
Innovation-driven environment with strong emphasis on research and development, balancing academic rigor with industrial applications
Advertisement
Ad Space
Apply Now

Data Sources & Analysis Information

Job Listings Data

The job listings displayed on this platform are sourced through BrightData's comprehensive API, ensuring up-to-date and accurate job market information.

Sauge AI Market Intelligence

Our advanced AI system analyzes each job listing to provide valuable insights including:

  • Industry trends and market dynamics
  • Salary estimates and market demand analysis
  • Role significance and career growth potential
  • Critical success factors and key skills
  • Unique aspects of each position

This integration of reliable job data with AI-powered analysis helps provide you with comprehensive insights for making informed career decisions.