Principal Scientist - Machine Learning for Autonomous Driving Behavior - XC
Job Description
Robert Bosch LLC is looking for a principal scientist at our Austin, TX location. The site is embedded in the University of Texas at Austin's Computer Science Department (TXCS), with offices in the CS Department's beautiful new Gates Dell Complex. In this unique set-up, Bosch Austin employees will also be given TXCS visiting researcher status and will closely collaborate with Profs. Peter Stone and Scott Niekum, as well as their research groups.
This position includes management and technical responsibilities for the development of Automated Driving (AD) algorithms. REQUIRES A PHD WITH A FOCUS ON ROBOTIC LEARNING, REINFORCEMENT LEARNING, IMITATION LEARNING, OR PLANNING FOR NAVIGATION.
As the principal scientist, your initial tasks will include co-leading the creation and set-up of a software and algorithm research and development team for AD.
In addition, you will be responsible for the scoping, supervision, and publication of peer-reviewed research projects; and work in close collaboration with our global development team including researchers, software developers and project managers to derive project specific solutions for automated driving technologies.
The ideal candidate has a proven background in robotics, artificial intelligence, and computer science, excellent software skills, with a strong publishing record in reinforcement learning or imitation learning, and a successful track-record in both fundamental research and applied R&D settings.
RESPONSIBILITIES
Qualifications
BASIC QUALIFICATIONS:
PREFERRED QUALIFICATIONS:
Additional Information
By choice, we are committed to a diverse workforce - EOE/Protected Veteran/Disabled.
BOSCH is a proud supporter of STEM (Science, Technology, Engineering & Mathematics) Initiatives like:
FIRST Robotics (For Inspiration and Recognition of Science and Technology)
AWIM (A World In Motion)