Student (f/m/d) Machine learning based methodology for spatial distribution of brake wear emissions

About the role

DLR Stuttgart Master's thesis on spatial distribution of brake wear emissions using ML. Python, ML/data analysis libraries and basic statistics/modeling; fluent English and basic German.

Requirements

• Mechanical, automotive, environmental, informatics, data science or related studies
• Experience or strong interest in ML/data analysis/modeling
• Python with ML/data libraries
• Basic statistics, numerical modeling or ML
• Fluent English and basic German

What you'll do

• Develop spatial ML models for urban brake-wear emissions
• Process road/traffic data and validate scenario models

Where this was posted

• LinkedIn

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