In this role, you will help develop an integrated analytical workflow that leverages Cloud infrastructure and Large Language Models (LLMs), alongside traditional machine learning, to derive actionable insights from complex vehicle data.
The salary range for this role is $25.00-40.00/hr for Illinois based applicants.
- Design and implement robust Python-based tools to parse, decode, and extract features from automotive PCAP logs.
- Apply advanced signal-processing techniques to transform vehicle data and perform large-scale analysis of corner cases of interest.
- Research, develop, and train machine learning models (e.g., Decision Trees, Random Forests, Neural Networks) for prediction, detection, and classification tasks.
- Architect the end-to-end workflow that processes raw vehicle logs, performs automated analysis, and prepares data for model training.
- Create easy-to-understand dashboards for the general audience, focusing clearly on outcomes to support decision making.
- Must be currently pursuing a masters or PhD degree at the University of Illinois Urbana Champaign (PhD preferred)
- Computer Science
- Computer Engineering
- Electrical Engineering
- Physics
- paid vacation
- paid sick leave
- medical insurance benefits
Researcher - Biostatistics & Data AnalysisUniversiteit Gent · Ghent, Belgium