[4eyes] FW: internships at Honda Research Institute, USA

Matthew Turk mturk at cs.ucsb.edu
Mon Jan 19 20:42:14 PST 2015


FYI

 

From: AAyvaci at hra.com [mailto:AAyvaci at hra.com] 
Sent: Monday, January 19, 2015 6:32 PM
To: aayvaci at honda-ri.com
Subject: internships at Honda Research Institute, USA

 

Dear Professor, 

I would appreciate if you could forward this announcement for Spring and
Summer internships to your students. 
Thank you very much! 

Best, 
Alper 

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The Computer Vision Group at Honda Research Institute, USA is offering
internships in  computer vision, robotics,  and machine learning 
 in Spring and Summer 2015. Specifically, the internship projects are
related to traffic participant detection and self-localization applied to 
advanced driver assistance systems and autonomous driving:  

(1) Traffic Participant Detection (Job number: P13INT-06) : Object
detection, recognition, tracking and path prediction, partially occluded 
object detection. 

(2) Localization (Job number: P13INT-07) : Robust self-localization with
sensor fusion, Particle filtering, Visual SLAM, Illumination invariant 
landmark detection, Learning sensor and action models. 

Requirements:  
- PhD student in Computer Science, Electrical Engineering, Mathematics or a
related field. 
- Strong and broad knowledge in Computer Vision, Robotics, or Machine
Learning. 
- Strong problem solving skills.  
- Excellent programming skills in C++, Matlab or Python.  

Our internship program provides a dynamic environment that lets graduate
students engage in cutting-edge industrial  research. Our interns 
will work on exciting and novel projects and will be able to publish their
results on  top conferences and journals.  We offer competitive salaries 
and interns are eligible for relocation stipends.  

To apply for these positions, please send your CV to 
 <mailto:interns at honda-ri.com> interns at honda-ri.com  
with the subject line clearly indicating the job number related to the
specific field that you are interested in. Name your attachment as 
 "FirstName.LastName.UniversityName.cv.pdf".

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