Home Jobs Master's Thesis - Finite Element Modelling of Crack Growth in Hydrogen Embrittled Steels
Back to Jobs

Master's Thesis - Finite Element Modelling of Crack Growth in Hydrogen Embrittled Steels - Job Opportunity at Fraunhofer Institute for Mechanics of Materials IWM

Freiburg, Germany
Temporary
Entry-level
Posted: February 7, 2025
Hybrid
EUR 30,000-35,000 per year (typical German research institute master's thesis compensation)

Benefits

Flexible working hours with mobile work options
Emergency childcare services
Parent-child office access
Employee discount program for events and retail
Research-oriented work environment
Flat hierarchical structure

Key Responsibilities

Develop state-of-the-art finite element modeling framework for crack growth and hydrogen diffusion simulation
Create and validate multiscale FEM combining materials characterization and diffusion kinetics
Design and implement two distinct Finite Element Models for microstructure-hydrogen interaction analysis
Calibrate and verify models against experimental data
Author master's thesis and scientific publication
Integrate cohesive zone modeling for crack propagation analysis

Requirements

Education

Current enrollment in Master's degree in Materials Science, Mechanical Engineering, Aerospace Engineering or related field

Required Skills

FE software experience (ABAQUS, ANSYS, LS-DYNA) Python programming Numerical simulation methods English language proficiency (B2 level) Strong analytical mindset Independent work capability Communication skills Structured approach to problem-solving
Advertisement
Ad Space

Sauge AI Market Intelligence

Industry Trends

Growing focus on hydrogen infrastructure development for clean energy transition requiring advanced materials research Increasing demand for simulation-based materials engineering in renewable energy sector Rising importance of computational materials science in industrial R&D

Role Significance

Likely part of a specialized research group of 5-10 researchers within the 330-person institute
Entry-level research position with significant technical responsibility and publication opportunity

Key Projects

Advanced materials characterization for hydrogen storage applications Computational modeling of material degradation mechanisms Development of predictive models for industrial applications

Success Factors

Strong foundation in computational mechanics and materials science Ability to bridge theoretical modeling with practical applications Scientific writing and documentation skills Collaboration with interdisciplinary research teams

Market Demand

High demand for materials simulation specialists due to energy transition and industrial digitalization

Important Skills

Critical Skills

Finite element modeling expertise is essential for developing accurate material behavior predictions Python programming skills needed for implementing complex simulation frameworks Materials science knowledge crucial for understanding hydrogen embrittlement mechanisms

Beneficial Skills

Experience with version control systems Knowledge of materials testing methods Scientific visualization skills Machine learning applications in materials science

Unique Aspects

Opportunity to contribute to sustainable energy infrastructure development
Direct involvement in cutting-edge materials research
Access to advanced computational resources and experimental facilities

Career Growth

6-12 months thesis duration with potential for continued research career

Potential Next Roles

PhD Researcher Materials Simulation Engineer R&D Engineer in Industrial Research Computational Materials Scientist

Company Overview

Fraunhofer Institute for Mechanics of Materials IWM

Leading German applied research organization with significant government and industry partnerships

Top-tier research institute with EUR 3.4 billion annual research budget
Part of nationwide network of 76 Fraunhofer institutes
Collaborative research environment with strong focus on industrial applications and sustainability
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.