Hybrid: This position is located in Warren, MI & requires an employee to be onsite 3-4 times per week.
Who You Are:
As a member of the Connected Vehicle Experience Research Lab, you will be working with the Connected Vehicle System group. You will be applying your expertise in connected and autonomous vehicles, wireless communication, infotainment, robotics, and data science for developing innovative approaches to enhance customer experience through wireless connectivity. As a researcher in this group, you will implement your solutions in wireless communication and publish your research findings in peer-reviewed journals to extend the reach of General Motors’ development of next-generation technology. This will also include interfacing with universities, research institutes, and other advanced technology laboratories to build a network for amplifying your research.
What You Do:
- Develop connected vehicle data analytics applications for safety, infotainment, and traffic efficiency
- Develop and implement new vehicular data analytics applications and services in prototyping systems
- Evaluate and analyze the developed protocols, systems and application services either via
extensive simulations or via empirical experimental measurements
- Participate in government-funded research work, such as the USDOT collaboration projects
- Document research work through internal and external publications
- Facilitate technology transfer via active participation in cross-functional teams
What You Need:
- U.S. Citizenship
- Master’s degree in computer science or electrical engineering or civil engineering
- Research experience in at least one of the following areas: mobile systems and applications, wireless communication, wireless network protocols, cyber-physical systems, wireless sensor network, intelligent transportation system, data science, or other related areas
- Strong theoretical, experimental or software programming skills
What Would be Even Better:
- PhD degree in a related area
- Hands-on experience building empirical systems to develop connected vehicular data analytics systems
- Hands-on experience with cloud and edge computing
- Hands-on experience with AI/ML data analytics for engineering applications
- Demonstrates leadership in field of study, extra-curricular activities, or service organizations
