GM Israel (Herzliya) takes a significant part in introducing sophisticated software features into car in many domains like connected cars, advanced camera technologies and research. We shape the face of the future vehicles in diverse fields by developing cutting edge technologies. GM is committed to Zero Emission, Zero Crashes and Zero Congestion vision.
About the Group:
General Motors R&D Lab in Israel is an applied research center focusing on creating and evaluating innovations for future vehicles. Our researchers conduct independent technical work, while initiating and leading collaborative projects with colleagues at academia and industry, both in Israel and globally.
As a member of General Motors Research Labs, the Vehicle Controls group offers exciting opportunities for motivated researchers with outstanding capabilities to conduct research in applied AI for developing cutting edge, world changing technologies for GM’s future vehicles.
We are seeking for a highly motivated and talented PhD student to join our team.
What You Will Do
As a part of the Research team, you will join a leading applied AI research team. You will develop AI/RL technologies that will change the future of mobility. You will collaborate with world-class universities / industry partners while publishing research outcomes internally and externally. Broader research areas include:
-
Explore, invent, innovate, implement, evaluate and test algorithms as an independent yet integral member of a research team
-
Identify research gaps, propose, plan and execute complex research projects
-
Maintain state-of-the-art technical expertise in AI/RL
-
Generate intellectual property, document results and publish papers
-
Demonstrate strong interpersonal skills and ability to work in a team environment including cross-functional global teams
Your Skills & Abilities (Required Qualifications)
-
A PhD student in AI, reinforcement learning, computer science, engineering, physics, or a related field.
-
Proven expertise in one or more of the following areas: deep learning, autonomous agents, large-scale multi-agent systems, prediction, distributed optimization, or reinforcement learning.
-
Experience handling large-scale, high-dimensional data from diverse sources using advanced machine learning techniques.
-
Demonstrated ability to prototype algorithms, as well as implement and test software on hardware platforms.
-
Strong programming skills in Python and familiarity with common AI/ML frameworks (e.g., PyTorch, TensorFlow, sklearn, etc.). Hands-on experience is essential.
-
Industrial experience – a significant advantage.
