PamiTC Job Board - Posting Details

Title: Scientist: Video/Multimodal Data Analytics (P16F03)Posted: May 18, 2017
Company/Institution: Honda Research Institute USA
Location: Mountain View, CA

Description: ​​​This position offers the opportunity to conduct innovative research on a broad set of problems related to Video/multi-modal data analytics. Key Responsibilities: - Propose, create, and implement supervised and unsupervised data segmentation/clustering algorithms from multimodal and multisensory data streams obtained from traffic scenes. - Develop and evaluate metrics to verify reliability of the proposed algorithms. - Participate in ideation, creation, and evaluation of related technologies in various domains other than traffic scenes, including temporal segmentation of human activities. - Contribute to a portfolio of patents, academic publications, and prototypes to demonstrate research value. Participate in data collection, sensor calibration, and data processing. - Participate in software development and implementation on various experimental platforms. Qualifications: - PhD in computer science, electrical engineering, or related field. - Research experience in computer vision, machine learning, and multi-modal signal processing. - Strong familiarity with machine learning techniques pertaining to sequential data processing. - Preferred hands on experience in handling multi-modal sensor data. - Preferred experience in open-source Deep Learning frameworks such as TensorFlow or Caffe. - Highly proficient in software engineering using C++ and Python. - Strong written and oral communication skills including development and delivery of presentations, proposals, and technical documents. - Strong publication record in one or more of the following areas: computer vision, machine learning, or computer vision.

Application Instructions: Please send an email to careers@honda-ri.com with the following: - ​​Subject line including the ​job number you are applying for - Recent CV - A cover letter explaining how your background matches the qualifications ​​Candidates must have the legal right to work in the U.S.A.​