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MASTER Thesis Experimental Investigation and Statistical Analysis and Modeling of ice accretion on aerodynamic surfaces(m/w/x)
Experimental investigation and statistical modeling of ice accretion on aircraft propellers in an icing wind tunnel. Experience with data analysis and statistical modeling required. Access to professional icing wind tunnel and supervision by experts.
Requirements
- Student in Aerospace Engineering, Mechanical Engineering, Physics, or Data Science
- Interest in experimental aerodynamics and fluid dynamics
- Basic understanding of thermodynamics or icing physics
- Experience with data analysis and programming (Python, MATLAB, or R)
- Knowledge of statistical modeling (Time Series Analysis, Markov Chains, or Regression models)
- Awareness of compliance risks and commitment to act with integrity
Tasks
- Conduct extensive experiments in the icing wind tunnel
- Quantify ice buildup and shedding on propellers
- Translate findings into a predictive icing model
- Define test matrices for environmental parameters
- Operate the icing tunnel for experiments
- Record ice accretion using high-speed imaging
- Measure performance degradation with load cells
- Develop a data-driven model for icing evolution
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- Python
- MATLAB
- R
- Time Series Analysis
- Markov Chains
- Regression models
Benefits
Other Benefits
- Access to professional icing wind tunnel
- Hands-on experience with measurement hardware
- Hands-on experience with high-speed camera systems
- Industry exposure
- Participation in customer meetings
Mentorship & Coaching
- Supervision by experienced icing experts
- Supervision by experienced data scientists
- Guidance by experienced Airbus researchers
Diverse Work
- Participation in technical project meetings
Flexible Working
- Flexible working arrangements
Not a perfect match?
- Airbus Defence and Space GmbHFull-timeWorking StudentOn-siteTaufkirchen, Ottobrunn
- Airbus Defence and Space GmbH
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MASTER Thesis Experimental Investigation and Statistical Analysis and Modeling of ice accretion on aerodynamic surfaces(m/w/x)
Experimental investigation and statistical modeling of ice accretion on aircraft propellers in an icing wind tunnel. Experience with data analysis and statistical modeling required. Access to professional icing wind tunnel and supervision by experts.
Requirements
- Student in Aerospace Engineering, Mechanical Engineering, Physics, or Data Science
- Interest in experimental aerodynamics and fluid dynamics
- Basic understanding of thermodynamics or icing physics
- Experience with data analysis and programming (Python, MATLAB, or R)
- Knowledge of statistical modeling (Time Series Analysis, Markov Chains, or Regression models)
- Awareness of compliance risks and commitment to act with integrity
Tasks
- Conduct extensive experiments in the icing wind tunnel
- Quantify ice buildup and shedding on propellers
- Translate findings into a predictive icing model
- Define test matrices for environmental parameters
- Operate the icing tunnel for experiments
- Record ice accretion using high-speed imaging
- Measure performance degradation with load cells
- Develop a data-driven model for icing evolution
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- Python
- MATLAB
- R
- Time Series Analysis
- Markov Chains
- Regression models
Benefits
Other Benefits
- Access to professional icing wind tunnel
- Hands-on experience with measurement hardware
- Hands-on experience with high-speed camera systems
- Industry exposure
- Participation in customer meetings
Mentorship & Coaching
- Supervision by experienced icing experts
- Supervision by experienced data scientists
- Guidance by experienced Airbus researchers
Diverse Work
- Participation in technical project meetings
Flexible Working
- Flexible working arrangements
About the Company
Airbus Defence and Space GmbH
Industry
Aerospace
Description
Airbus is committed to achieving workforce diversity and creating an inclusive working environment.
Not a perfect match?
- Airbus Defence and Space GmbH
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