Support development and validation of L3+ Advanced Driver Assistance Systems (ADAS) and L4 Autonomous Driving (AD) Systems through foundational data analysis
Extract, clean, and manipulate datasets using Python and SQL to support system performance assessments
Apply advanced statistical methods (e.g., hypothesis testing, regression) to interpret behavioral data, identify trends, and evaluate system performance
Create clear visualizations to communicate insights to engineers and stakeholders
Work with simulation, engineering, and product teams to integrate evaluation feedback
Contribute to ensuring the safety and reliability of autonomous driving technologies
Requirements
Current enrollment in a Master program in Statistics, Applied Statistics, Biostatistics, Econometrics, Physics, Computer Science, Engineering, or related fields
Familiarity with advanced statistical concepts (experimental design, hypothesis testing, causal inference, time series analysis, etc)
Proficiency in Python and SQL
Ability to explain technical findings to diverse audiences
Comfort collaborating across global time zones
Available to work in the office five days a week for the internship period
Available for a 12-week / 3-month internship beginning August or September 2025