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PhD Candidate - Structural Health Monitoring of Wind Turbine Rotor Blades - Job Opportunity at EnBW Energie Baden-Württemberg AG

Berlin, Germany
Full-time
Entry-level
Posted: February 21, 2025
Hybrid
EUR 47,000 - 55,000 per year based on German academic research positions and industry standards

Benefits

Flexible work arrangements including remote work and workation options up to 90 days per year
30 days annual vacation
Holiday and Christmas bonuses
Profit sharing program
Capital formation benefits
Subsidized public transport ticket
Home office equipment allowance
Device and bicycle leasing options
Comprehensive mentoring program
Professional development opportunities

Key Responsibilities

Development of novel methods for data and model-based early damage detection in wind turbine rotor blades
Definition and validation of key performance indicators for structural damage detection
Implementation of machine learning and statistical methods for robust monitoring strategies
Analysis of sensor data from operational wind turbines
Collaboration with internal and external experts
Publication of at least 3 articles in prestigious academic journals
Participation in professional conferences

Requirements

Education

Master's degree in Mechanical Engineering, Civil Engineering, Electrical Engineering, Computer Science, Mathematics, Physics or related field

Experience

Previous experience in wind turbine dynamics preferred

Required Skills

Python programming Statistical modeling Data analysis Wind turbine dynamics Structural monitoring Signal processing Machine learning Fluent German and English Independent and structured work approach Team collaboration skills
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Sauge AI Market Intelligence

Industry Trends

The wind energy sector is experiencing rapid growth driven by ambitious EEG expansion goals and the broader energy transition movement Increasing focus on predictive maintenance and AI-driven monitoring solutions to optimize wind turbine performance and longevity Growing demand for specialized data scientists and engineers in renewable energy sector

Role Significance

Likely part of a specialized technical team of 5-8 professionals within the Remote Monitoring and Analytics department
Research-focused position with significant autonomy in developing novel monitoring methods while collaborating with academic and industry experts

Key Projects

Development of advanced damage detection algorithms for wind turbine components Implementation of machine learning models for predictive maintenance Creation of robust monitoring systems for large-scale wind farm operations

Success Factors

Strong foundation in both theoretical physics/engineering and practical programming skills Ability to bridge academic research with industrial applications Excellence in data analysis and interpretation Strong scientific writing and presentation skills for publishing research findings Effective collaboration with both academic and industry partners

Market Demand

High demand for specialists in structural health monitoring and machine learning applications in renewable energy, particularly in German market due to aggressive renewable energy expansion targets

Important Skills

Critical Skills

Python programming for implementing monitoring algorithms Statistical analysis for data interpretation Machine learning for pattern recognition in structural health monitoring Signal processing for sensor data analysis

Beneficial Skills

Wind energy system design knowledge Experience with industrial IoT systems Knowledge of wind turbine aerodynamics Familiarity with renewable energy regulations

Unique Aspects

Direct application of research findings to industrial wind farm operations
Combination of academic research with practical industry experience
Access to real-world wind turbine data for research
Partnership with University of Rostock's Department of Technical Mechanics

Career Growth

3-year PhD program with potential for permanent position in industrial research and development

Potential Next Roles

Senior Research Engineer Technical Team Lead in Renewable Energy Wind Energy Systems Specialist Data Science Manager in Energy Sector

Company Overview

EnBW Energie Baden-Württemberg AG

EnBW is one of Germany's largest energy companies, actively driving the transition to renewable energy sources

Major player in German energy market with significant investments in renewable energy infrastructure
Strong presence in Baden-Württemberg with expanding operations across Germany and Europe
Progressive work environment emphasizing innovation, sustainability, and work-life balance with strong academic partnerships
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