|Title: Scientist: 3D Computer Vision||Posted: August 8, 2017|
|Company/Institution: Honda Research Institute USA|
|Location: Mountain View, CA|
Description: This position offers the opportunity to work on a broad and exciting set of problems related to processing of 3D point cloud data, including recognition, registration, segmentation, tracking, representation, and transmission. Key Responsibilities: Propose, create, and implement state-of-art point cloud segmentation and classification algorithms. Develop algorithms for spatial and temporal registration of 3D point cloud data, recorded from multiple LiDAR sensors. Develop and evaluate metrics to verify the reliability of the proposed algorithms. Participate in ideation, creation, and evaluation of various related technologies, including 3D SLAM. Contribute to a portfolio of patents, academic publications, and prototypes to demonstrate research value. Participate in software development and implementation on various experimental platforms. Qualifications: PhD in computer science, electrical engineering, or related field. Strong familiarity and research experience in 3D computer vision and machine learning. Hands-on experience in one or more of the following: LIDAR data processing, Simultaneous Localization and Mapping (SLAM), Perception, Machine Learning, Sensor Fusion. Preferred hands on experience in handling multi-modal sensor data. Highly proficient in software engineering using C++ and Python. Preferred experience with Point Cloud Library (PCL), Robot Operating System (ROS), and GPU programming. Preferred experience in open-source Deep Learning frameworks such as TensorFlow or Caffe. Strong written and oral communication skills including development and delivery of presentations, proposals, and technical documents. Strong publication record one or more of the following areas: 3D computer vision, machine learning, or SLAM.
Application Instructions: Please send an email to email@example.com with the following:
- Subject line including the job number you are applying for
- A cover letter explaining how your background matches the qualifications
- Candidates must have the legal right to work in the U.S.A.