Robotics Research Scientist: Learning Perception Planning
Mitsubishi Electric Research Laboratories
Cambridge (MA)
On-site
USD 135,000 - 170,000
Full time
14 days+
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Benefits offered by this job
Annual performance-based bonus
Comprehensive benefits package
401(k) match
Job summary
A leading research facility is seeking a Robotics Research Scientist to advance research in learning, perception, motion planning, and manipulation for robotic systems. The successful candidate will develop novel algorithms and demonstrate them in real-world applications. Ideal candidates should have a PhD in a related field, a strong research background, and proficiency in programming languages such as C++ or Python. This role offers a competitive salary and a comprehensive benefits package, emphasizing the importance of collaboration within interdisciplinary teams.
Qualifications
PhD in Robotics or related field.
Demonstrated publication record in leading robotics and AI conferences.
Strong programming skills in C++ and Python.
Responsibilities
Conduct original research in robotics with an emphasis on novel algorithms.
Demonstrate algorithms on experimental platforms.
Publish research in top-tier conferences and journals.
Skills
Robotic systems research
Learning-based approaches
Programming in C++
Programming in Python
Multi-robot systems
Human-Robot Interaction (HRI)
Education
PhD in Robotics, Computer Science, Electrical Engineering, or Mechanical Engineering
Tools
C++
Python
ROS / ROS2
MuJoCo
Isaac Lab
Job description
A leading research facility is seeking a Robotics Research Scientist to advance research in learning, perception, motion planning, and manipulation for robotic systems. The successful candidate will develop novel algorithms and demonstrate them in real-world applications. Ideal candidates should have a PhD in a related field, a strong research background, and proficiency in programming languages such as C++ or Python. This role offers a competitive salary and a comprehensive benefits package, emphasizing the importance of collaboration within interdisciplinary teams.