Research Scientist - Materials Modeling - Job Opportunity at Fraunhofer Institute for Mechanics of Materials (IWM)

Freiburg, Germany
Full-time
Senior
Posted: January 31, 2025
Hybrid
EUR 65,000 - 80,000 per year based on TVöD scale and post-doctoral experience level

Benefits

Flexible working hours with remote work options
Parent-child office for emergency childcare needs
Comprehensive employee discount program
Professional development programs
Work-life balance support system
Emergency childcare services

Key Responsibilities

Develop and apply automated simulation methods focusing on modeling foreign atom effects in alloys
Lead research projects involving high mechanical, thermal and chemical stress analysis
Process research assignments and industry inquiries in materials modeling
Author scientific reports and publications
Independently conduct project meetings and stakeholder management

Requirements

Education

PhD in Materials Science

Experience

Post-doctoral experience in materials science

Required Skills

Electron structure methods Atomistic material modeling Python programming Numerical simulation techniques Fluent German and English Team collaboration Strong communication skills Independent problem-solving ability
Advertisement
Ad Space

Sauge AI Market Intelligence

Industry Trends

Increasing focus on sustainable materials development for climate neutrality Growing importance of computational materials science in industrial R&D Rising demand for expertise in atomic-scale modeling for advanced materials Shift towards integrated materials informatics approaches

Role Significance

Working within a research group of 10-15 scientists in a 330-person institute
Senior research position with significant project leadership responsibilities and scientific authority

Key Projects

Industrial collaboration projects for materials optimization Public funded research initiatives in computational materials science Sustainability-focused materials development programs Cross-disciplinary modeling projects

Success Factors

Deep expertise in computational materials science methodologies Ability to bridge theoretical modeling with practical applications Strong project management and stakeholder communication skills Publication track record and scientific writing ability

Market Demand

High demand with growing trajectory due to industrial digitalization and materials innovation needs

Important Skills

Critical Skills

Materials modeling expertise for specific focus on foreign atom effects Advanced programming skills for simulation development Project management capabilities for research coordination

Beneficial Skills

Machine learning applications in materials science High-performance computing experience Grant writing and proposal development

Unique Aspects

Direct involvement in industry-relevant materials research
Balance of fundamental science and practical applications
Access to extensive research infrastructure
Strong connection to industrial partners

Career Growth

3-5 years for advancement to team leadership roles, 5-8 years for senior management positions

Potential Next Roles

Research Group Leader Department Head Principal Scientist Technical Director

Company Overview

Fraunhofer Institute for Mechanics of Materials (IWM)

Fraunhofer IWM is a leading research institute within Germany's largest applied research organization

Premier position in applied materials research with strong industry connections
Major research hub in southwest Germany's technology corridor
Collaborative research environment with emphasis on practical innovation and scientific excellence
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.