Dear Professor Sidner,
I would be grateful if you can forward the below research postings to your students and affiliates.
· Scientist: Computer Vision/Multimodal Systems (Job Number: P16F02)
· Scientist: Video/Multimodal Data Analytics (Job Number: P16F03)
· Scientist: Decision Making/Motion Planning (Job Number: P16F05)
· Senior Scientist: Robotics / Human Robot Cooperation (Job Number: P16F06)
· Senior Scientist: Robotics/Indoor Navigation, Human Robot Cooperation (Job Number: P16F08)
· Scientist: Robotics / Navigation (Job Number: P16F10)
· Scientist: Multimodal Signal Processing (Job Number: P16F11)
· Robotics Navigation (Job Number: P16T06)
· Human Machine Interface Researcher (Job Number: P16T07)
· Signal / Video Processing Researcher (Job Number: P16T08)
Sincerely,
Alireza Nakhaei
Honda Research Institute, USA
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Honda Research Institute USA, Inc.
Honda Research Institute USA (HRI-US) is at the cutting edge of Honda's research and development activities. Inspired by Honda's global slogan - The Power of Dreams - we pursue emerging technologies and bring them into reality to make people happy, even as we are engaged 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 challenging spirits to work with us.
HRI-US (Silicon Valley) is searching for talented scientists and engineers with expertise in computer vision and machine learning to join our team of engineers and scientists in Mountain View, California, to support activities in the next generation mobility systems.
As a member of the group, we encourage the candidates to contribute new research ideas and to participate in presentations and scientific publications. You will also have the opportunity to build close relationships with our research partners at world-class universities and at other Honda Research Institutes in Europe and Japan to create cutting edge solutions to complex and real world problems.
How to Apply: Please send an email to careers@honda-ri.com with the following:
- Subject line including the job number(s) 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.
Scientist: Computer Vision/Multimodal Systems (Job Number: P16F02)
This position offers the opportunity to conduct innovative research on a broad set of problems related to scene and driver understanding.
Key Responsibilities:
- Propose computer vision/multimodal data analysis methods and apply them to data collected on street scenes using our advanced test vehicles.
- Contribute to a portfolio of patents, academic publications, and prototypes to demonstrate research value.
- Participate in software development and implementation on various experimental platforms.
- Participate in data collection, sensor calibration, and data processing.
Minimum Qualifications:
- M.S. or PhD in computer science, electrical engineering, or related field.
- Research experience in computer vision, and driver behavioral data analytics.
- 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.
Preferred Qualifications:
- Experience in Robot Operating System (ROS).
- Experience in open-source Deep Learning frameworks such as TensorFlow or Caffe.
Scientist: Video/Multimodal Data Analytics (Job Number: P16F03)
This position offers the opportunity to conduct innovative research on a broad set of problems related to multi-modal temporal segmentation.
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.
Scientist: Decision Making/Motion Planning (Job Number: P16F05)
The position focuses on bringing machine learning techniques to real-world decision making problems. It has a strong emphasis on real problems with real solutions and requires broad knowledge in the areas such as reinforcement learning, deep learning and policy optimization.
Key Responsibilities:
- Perform research to make machine learning applicable to real world decision making problems.
- Develop decision making and motion planning algorithms for autonomous vehicles.
- Participate in software development and prototyping.
- Contribute to a portfolio of patents and academic publications demonstrate research value.
Minimum Qualifications:
- PhD/MSc in Computer Science, Electrical Engineering, or related field.
- Expertise in machine learning.
- Expertise in decision making under uncertainty.
- Familiarity with motion planning algorithms.
- Proven track record in conferences/journals.
- Strong programming skills in Python or C++.
Preferred Qualifications:
- Experience in reinforcement learning and/or deep learning.
- Experience in behavior cloning.
- Familiarity with probabilistic reasoning in AI.
- Experience in deep learning frameworks such as Tensorflow.
- Familiarity with Robot Operating System (ROS).
Senior Scientist: Robotics / Human Robot Cooperation (Job Number: P16F06)
This position seeks self-motivated candidates capable of formulating and solving original problems in robotics.
Key Responsibilities:
- Perform research in decision making and planning under uncertainty in human robot cooperation, cooperative manipulation, navigation in human environment, social robotics and related emerging fields
- Lead a team of scientists and engineers towards a global research goal
Minimum Qualifications:
- PhD in computer science, robotics, or related field with at least 3 years of postdoctoral experience
- Hands-on experience with robots in real environment using ROS, C++, Python
- Familiarity with machine learning techniques
- Strong communication skills and ability to work with academic partners
Senior Scientist: Robotics/Indoor Navigation, Human Robot Cooperation (Job Number: P16F08)
This position seeks self-motivated candidates capable of formulating and solving original problems in robotics, especially in the field of indoor robot navigation and human robot cooperation.
Responsibilities:
- Lead a team of scientists and engineers towards a global research goal.
- Contribute to research and development projects in collaboration with Honda overseas.
- Take initiative and participate in collaborative research projects with universities.
- Educate and raise research standards in the institute.
- Participate in software development and implementation on various experimental platforms.
- Perform research in decision making and planning under uncertainty for real world problems such as navigating across crowded environment using dynamically stable robot, mobile manipulation in human coexisting environment, human robot cooperation, cooperative manipulation, social robotics and related emerging fields.
Qualifications:
- PhD in computer science, robotics, or related field with at least 10 years of postdoctoral experience.
- Expertise in machine learning, decision making under uncertainty, navigation, motion planning algorithms.
- Familiarity with reinforcement learning and/or deep learning.
- Hands-on experience with robots in real environment using ROS, C++, Python.
- Strong programming skills in Python or C++.
- Proven track record in conferences/journals.
- Strong communication skills and ability to work with academic partners.
- Strong written and oral communication skills including development and delivery of presentations, proposals, and technical documents.
Scientist: Robotics / Navigation (Job Number: P16F10)
This position offers the opportunity to conduct innovative research on a broad set of problems related to indoor robot navigation.
Responsibilities:
- Develop and implement robot navigation software on various experimental platforms.
- Propose, create and implement navigation and decision making algorithms to have dynamically stable robot navigate across crowded environment using dynamically stable robot while understanding intentions of others as necessary.
- Apply computer vision/multimodal data analysis methods to analyze scene around the robot in real time.
- Apply machine learning methods to make estimates of how the crowd would behave and what pedestrians intends to do in the given scene.
- Participate in collaborative research projects with universities.
Qualifications:
- PhD in computer science, robotics, or related field.
- Expertise in machine learning, (inverse) reinforcement learning, planning/decision making under uncertainty, navigation, motion planning algorithms.
- Familiarity with multimodal perception, computer vision.
- Hands-on experience with robots in real environment using ROS, C++, Python.
- Strong programming skills in Python or C++.
- Proven track record in conferences/journals.
- Strong communication skills and ability to work with academic partners.
Scientist: Multimodal Signal Processing (Job Number: P16F11)
This position offers the opportunity to conduct innovative research on a broad set of problems related to multi-modal temporal data understanding.
Key Responsibilities:
- Propose, create, and implement supervised and unsupervised data segmentation/anomaly detection algorithms from multimodal and multisensory data streams obtained from car and driver monitoring sensors.
- 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.
Minimum Qualifications:
- PhD or M.S. in computer science, electrical engineering, or related field.
- Research experience in signal processing (e.g., speech, physiology sensors) and machine learning.
- Strong familiarity with machine learning techniques pertaining to sequential data processing.
- 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: signal processing or machine learning.
Preferred Qualifications:
- Hands-on experience in handling multi-modal sensor data.
- Experience in open-source Deep Learning frameworks such as TensorFlow.
Robotics Navigation (Job Number: P16T06)
This position seeks a candidate who can participate and contribute to the research of robot navigation in human co-existing environment.
Responsibilities:
- Develop and implement robot navigation software on various experimental platforms.
- Participate in research of crowded environment navigation and pedestrian intention recognition.
- Participate in collaborative research projects with universities.
Qualifications:
- PhD in computer science, robotics, or related field.
- Expertise in machine learning, planning/decision making under uncertainty, navigation, motion planning algorithms.
- Familiarity with multimodal perception, computer vision.
- Hands-on experience with robots in real environment using ROS, C++, Python.
- Strong programming skills in Python or C++.
- Strong communication skills and ability to work with academic partners.
Human Machine Interface Researcher (Job Number: P16T07)
This position offers the opportunity to conduct innovative research on a broad set of problems related to human-machine interface for automated/semi-automated vehicles.
Key Responsibilities:
- Propose, create, and implement novel human-machine interaction concept by fusing visual, auditory and tactile devices.
- Conduct human factor studies for the proposed systems.
- Participate in ideation, creation, and evaluation of related technologies in various domains other than traffic scenes, including machine learning and computer vision.
- 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.
Minimum Qualifications:
- PhD in computer science, electrical engineering, or related field.
- Research experience in human-computer interaction, interface design.
- Highly proficient in software engineering using C#, 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: human-machine interaction or human factor.
Preferred Qualifications:
- Hands-on experience in handling multi-modal sensor data.
- Experience in human-factor analysis for automobiles.
Signal / Video Processing Researcher (Job Number: P16T08)
This position offers the opportunity to conduct innovative research on a broad set of problems related to multi-modal temporal data understanding.
Key Responsibilities:
- Propose data segmentation and anomaly detection algorithms from multisensory data streams obtained from car (video and car sensory data stream) and driver monitoring sensors.
- Implement proofs of concept using the proposed algorithms.
- Contribute to a portfolio of patents, academic publications, and prototypes to demonstrate research value.
- Participate in data collection, sensor calibration, and software development various experimental platforms.
Minimum Qualifications:
- PhD in computer science, electrical engineering, or related field.
- Research experience in computer vision/signal processing (e.g., speech, physiology sensors), and machine learning.
- Experience in open-source Deep Learning frameworks such as TensorFlow.
- Strong familiarity with machine learning techniques.
- 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: signal processing or machine learning.
Preferred Qualifications:
- Hands-on experience in handling multi-modal sensor data.