Volvo Group is looking to enhance its vehicle dynamics simulation efforts by focusing on automation and connectivity within their simulation frameworks, and integrating machine learning into the vehicle dynamics development process.
Requirements
- Python (or a comparable language)
- Academic projects/coursework relating to machine learning or data analytics.
Responsibilities
- Mapping Python variables to simulation software parameters.
- Advancing the development of our existing Python automation scripts.
- Working in tandem with software vendors to craft necessary development tools.
- Working with data pertaining to vehicle dynamics recorded on physical vehicles
- Performing statistical analysis on large datasets of vehicle data logs relating to the steering, suspension & braking systems
- Applying fundamental machine learning principles to develop new methods of estimating parameters relating to vehicle motion, combining data generated from simulation and data gathered from physical tests
Other
- Currently enrolled and pursuing a Computer Science degree at an accredited institution, having completed at least 30 semester hours of undergraduate coursework.
- Applicants must have a minimum cumulative grade point average of 2.75.
- Summer interns may work up to 40 hours per week
- willing to bring new ideas relating to machine learning and data analytics to the table and work on generating proof of concept scripts.
- work closely with our engineers, embodying GTT's ethos of collaboration and continuous learning.
