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Career Center

Robot Manipulation, Planning and Control - ONLINE Adjunct Instructor

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Brandeis University - GPS

Posted on 06/19/2019

Location

ONLINE

Description

Brandeis University’s Graduate Professional Studies (GPS) is looking for an industry expert in Systems Design and Architecture to design and teach in our new Robotic Software Engineering Master’s Program.  Brandeis University is consistently ranked among the nation’s top universities, and our online courses are developed using best practices in online learning.

About the position:

A core course, RBOT 250: Robot Manipulation, Planning and Control focuses on the algorithmic and mathematical concepts when dealing with robot planning, manipulation and control. Topics covered include kinematics and dynamics, as well as path planning algorithms. Simulations will be performed to test the related algorithms.

Upon course completion, students should be able to:

  • Develop planning and manipulation solutions to drive robot operation
  • Integrate perception algorithms into manipulation and planning systems
  • Use simulation to drive testing of robotic algorithms

About the Masters in Robotic Software Engineering Program:

From self-driving cars to farming to advances in healthcare and caretaking, nearly every global industry will be impacted by autonomous robots and the software that drives them. The Masters in Robotic Software Engineering will allow students to develop an advanced understanding of robotic engineering concepts and learn from leading software engineers and roboticists.

All GPS Masters courses are 10-weeks long and taught asynchronously in the online learning environment with no set days or times for interaction. 

About GPS Faculty:

GPS Faculty instructors are active practitioners in the industries that align with our programs and have the professional expertise to bring to course discussions and threads. Instructors are part time and work fully online, with no requirement to appear on campus. Our faculty have earned at least a master's degree with many holding terminal academic degrees and industry-specific credentials. Previous experience teaching online is not required; GPS offers a comprehensive training program for qualified applicants. 

How to apply:

GPS welcomes applications for its adjunct faculty pool on an ongoing basis. The application process consists of the online application and, if subject matter qualifications are met, a series of interviews at the discretion of the Program Chair.

Major Duties & Responsibilities

  • For new courses requiring development:
    • Design a syllabus following program chair guidance and the syllabus template.
    • Create content that aligns with course outcomes and offers the author’s experiences and perspectives on key points.
  • For all courses - develop and deliver the course according to our teaching standards, which include actively facilitating online discussions, providing relevant and timely feedback on student work, reporting grades, and discussing student issues with staff.
  • Create or refine and facilitate the course site in the Moodle learning management system.

 

Minimum Skills & Abilities

  • Strong interpersonal skills when relating to students.
  • The ability to communicate effectively in writing, including conveying complex information and promoting in-depth engagement on course topics.
  • The ability to devote adequate time to courses, including responding to students and providing meaningful feedback in a timely manner.

Minimum Education & Experience

Required:

  • Current active employment in the Robotics Engineering field, or related industry
  • Minimum of 10 years hand-on experience developing manipulation/planning/control software for real-world robotic applications
  • Understanding of ROS and its components (and tools such as rviz, gazebo, etc) required
  • Solid mathematical background in robotics (probability & statistics, calculus, etc) required
  • Minimum of a Master’s Degree

Preferred:

  • Teaching experience preferred; online teaching or learning experience preferred.

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