Master Thesis - Data Analysis of Weather Effects
Core
Analyze large datasets of aerodynamic test results and weather measurements to investigate physical mechanisms behind CdA variation and test spread.
Role type
Master thesis researcher (data analysis & statistics)
Builds
Insights on environmental effects on aerodynamic drag for heavy-duty trucks
Domain
Automotive engineering / Aerodynamics / Data Science
Deliverable
research
Required skills
Python, statistical analysis, data cleaning, signal analysis, physics understanding
Preferred skills
machine learning, experience with large real-world datasets
Technologies
Python
Responsibilities
Perform statistical analysis of CdA variation against environmental variables; conduct segment-by-segment signal analysis to identify transient effects; decompose CdA scatter into aerodynamic and non-aerodynamic components; cross-reference findings with existing ML models.
