[4eyes] FW: Winter/Spring Internship Opportunities at Honda Research Institute

[Matthew Turk]

FYI

 

From: Alireza Nakhaei Sarvedani [mailto:anakhaei at honda-ri.com] 
Sent: Wednesday, November 8, 2017 1:14 PM
To: mturk at cs.ucsb.edu
Subject: Winter/Spring Internship Opportunities at Honda Research Institute

 

Dear Professor Turk,

 

I would be grateful if you can forward the below internship postings to your
students and affiliates.

 

Sincerely,

Alireza Nakhaei

Honda Research Institute, USA

 

 


           Honda Research Institute USA, Inc.

 

Honda Research Institute USA (HRI-US) strives to be at the cutting edge of
Honda's research and development activities.  Driven by Honda's global
slogan - The Power of Dreams - we pursue emerging technologies and bring
them into reality to make people happy by engaging daily in highly
scientific, pioneering work.  We realize that dreams don't come from
organizations, systems, or money.  They come from people, and we seek people
who have such a challenging spirit to join us.

Currently, HRI-US (Silicon Valley) is offering research internships to
highly motivated Ph.D. (and qualified M.S.) students.  Interns will work
closely with HRI researchers, and publishing results in academic forums is
highly encouraged.  We are looking for candidates with good publication
track records and excellent programming skills to join our team!

 

How to Apply: Please send an e-mail to interns at honda-ri.com
<mailto:interns at honda-ri.com>  with the following:

-          Subject line including the job number(s) you are applying for.

-          Recent CV

Candidates must have the legal right to work in the U.S.A.

Machine Learning (Job Number:  P16INT-11)

-          Develop machine learning algorithms to learn semantic maps and
driving behaviors.

-          Develop novel machine learning algorithm and evaluate the
performance on anomaly detection.

-          Develop RL algorithms and design consistent state representation
that works for both simulation and real driving scenarios. 

 

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.

 

Motion Planning / Decision Making (Job Number:  P16INT-12)

-          Develop RL algorithms to address tactical lane changing
scenarios.

-          Develop RL and IRL algorithms to address merging scenarios.

 

Qualifications:

-          Excellent programming skills in Python and C++. 

-          Research expertise in Machine Learning related techniques
including RL and IRL.

-          Experience in TensorFlow preferred.

 

Object Detection (Job Number:  P16INT-13)

-          Develop algorithm for robust 2D/3D object detection and tracking
for automated driving and robotics applications.

 

Qualifications:

-          MS or PhD candidate in computer science, electrical engineering,
or related field.

-          Research experience in 2D/3D object detection and tracking.

-          Strong familiarity with computer vision and machine learning.

-          Excellent programming skills in Python and C++.

-          Experience in designing deep convolutional neural networks using
Caffe, TensorFlow, Pytorch. 

 

Object Recognition (Job Number:  P16INT-14)

-          Develop domain adaptation algorithms to minimize domain shift
between real and synthesized images in the context of uncommon object
recognition in traffic scenes.

 

Qualifications:

-          PhD candidate in computer science, electrical engineering, or
related field.

-          Strong familiarity and research experience in computer vision,
machine learning, and domain adaptation algorithms.

-          Excellent programming skills in Python and C++. 

-          Experience in TensorFlow (or Caffe) and CAD rendering tools
preferred.

 

Prediction (Job Number:  P16INT-15)

-          Problem formulation and modeling, perform proof-of-concept using
simulation, and develop and validate code using real sensor data.

 

Qualifications:

-          PhD or highly qualified MS candidate in computer science,
electrical engineering, or related field.

-          Solid understanding of probabilistic methods such as Kalman
filters, Particle filters, HMM, DBN, SLDS.

-          Working knowledge of machine learning techniques such as SVM,
CNN, RNN.

-          Good programming skills in either C++ or Python.

 

Robotics (Job Number:  P16INT-16)

-          Set up the simulation framework, develop algorithms into codes,
and run experiments on simulation and real robot platform.

 

Qualifications:

-          Expertise in motion planning, modeling, decision making,
manipulation/grasping.

-          Experience in setting up simulation environment and executing
real robot experiments. 

-          ROS preferred.

 

 

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