[4eyes] FW: Immediate Research Internship Opening at HRI (Jan. 2019)

[Matthew Turk]

FYI
 
From: Sujitha Martin <smartin at honda-ri.com> 
Sent: Monday, December 3, 2018 3:26 PM
To: Sujitha Martin <smartin at honda-ri.com>
Subject: Immediate Research Internship Opening at HRI (Jan. 2019)
 
Dear Professor,
 
Honda Research Institute USA has immediate research internship positions
opening for winter/spring semester (Jan. 2019). I would be grateful if you
can forward the following information to your students and affiliates.
 
Machine Learning / Computer Vision for Video Saliency (Job Number:
P17INT-11)
 
This position focuses on developing learning framework for video saliency in
driving scene utilizing a unique on-road driving data that includes scene
videos, vehicle states as well as expert drivers' gaze information. The
candidate's responsibilities include: designing and training novel algorithm
using machine learning approaches to understand salient objects/region of
the driving scene that would/should attract driver's visual attention.

Key Responsibility:
*	Develop novel machine learning algorithm and evaluate the
performance on video saliency estimation
*	Develop meaningful metrics to evaluate the proposed approach
Qualifications:
*	PhD candidate in computer science, electrical engineering, or
related field.
*	Strong familiarity and research experience in computer vision,
machine learning, including sequential modeling, multimodal signal fusion,
and deep learning.
*	Excellent programming skills in Python and C++.
*	 Experience in TensorFlow (or Caffe) preferred.
 
How to Apply: Please send an e-mail to  <mailto:careers at honda-ri.com>
careers at honda-ri.com with the following:
*	Subject line: [P17INT-11]  Winter Research Internship
*	Short description of your interest in this position
*	Recent CV
Candidates must have the legal right to work in the U.S.A.
 
Computer Vision: Traffic Scene Understanding (Job Number: P17INT-02)
This title includes multiple positions which offer the opportunity to
conduct innovative research in computer vision, machine learning, and video
analytics. The candidate is expected to work on one of the following topics:
.         Human behavior understanding, including human pose estimation,
action detection, intention prediction, and trajectory forecasting.
.         Captioning and retrieval of traffic scene events from video. 
.         Automatic classification of various driving conditions and
scenarios including place, weather, and traffic condition.
.         Detection and prediction of traffic participant actions from
video.
Qualifications:
.         Ph.D. or M.S. in computer science, electrical engineering, or
related field.
.         Research experience in machine learning, computer vision and/or
driver behavior data analytics.
.         Highly proficient in software engineering using C++ and Python.
Preferred Qualifications
.         Experience in open-source Deep Learning frameworks such as
TensorFlow or Caffe.
.         Familiarity with graphical models (e.g.probabilistic graphical
models, scene graphs)
.         Strong written and oral communication skills including development
and delivery of presentations, proposals, and technical documents.
 
How to Apply: Please send an e-mail to  <mailto:careers at honda-ri.com>
careers at honda-ri.com with the following:
.         Subject line: [P17INT-02]  Winter Research Internship
.         Short description of your interest in this position
.         Recent CV
Candidates must have the legal right to work in the U.S.A.
Machine Learning / Computer Vision for 3D Scene Understanding (Job Number:
P17INT-03)
This title includes multiple positions which focus on research and
development of computer vision, machine learning and optimization
algorithms. The candidate is expected to work on one of the following
topics:
.         3D traffic scene reconstruction from video.
.         Joint 2D/3D Data Fusion for Dynamic Traffic Scene Analysis.
Qualifications:
.         Ph.D. or M.S. in computer science, electrical engineering, or
related field.
.         Strong familiarity with computer vision and machine learning
techniques pertaining to 3D reconstruction, SLAM, visual recognition, and
deep learning.
.         Highly proficient in software engineering using C++ and Python.
Preferred Qualifications:
.         Experience in open-source Deep Learning frameworks such as
TensorFlow or Caffe.
.         Hands-on experience in developing algorithms for 3D
reconstruction, SLAM, and visual recognition.
.         Experience in Robot Operating System (ROS).
.         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.
How to Apply: Please send an e-mail to  <mailto:careers at honda-ri.com>
careers at honda-ri.com with the following:
.         Subject line: [P17INT-03]  Winter Research Internship
.         Short description of your interest in this position
.         Recent CV
Candidates must have the legal right to work in the U.S.A. 
 
 
 
Thank you!
 
Best,
Sujitha
 
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