Job Description

• Conduct advanced research and engineering in reinforcement learning and controls for robotic manipulation
• Apply research results to real-world applications with high quality implementation
• Integrate the resulting system/software into existing Bosch platform
• Summarize research findings in high-quality paper and/or patent submissions

Qualifications

REQUIRED QUALIFICATION:

The ideal candidate is familiar with the following skill sets:

• Strong background in reinforcement learning and manipulation
• Solid C++ programming skill
• Experience with robotics manipulation libraries like ROS, Gazebo and MoveIt!
• Able to work independently, has strong research and problem solving skills
• Good communication and teamwork skills

DESIRED QUALIFICATION:

• Publication record in top venues (ICRA, IROS, RSS, CoRL, NeurIPs etc)
• Familiar with Gym + Mujoco environment, deep learning packages such as PyTorch, TensorFlow or Keras.
• Hands-on experience with robotics manipulation systems such as Baxter, PR2, Panda, etc and perception systems using Kinect etc

Additional Information

• Major(s): Computer Science or related field
• Degree level: Ph.D. or Master –Must be a current student or recent graduate (less than 1 year)
• Start Date: Summer 2020

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

• FIRST ROBOTICS (For Inspiration and Recognition of Science and Technology)
• AWIM (A World In Motion)