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Job ID: 141343

PhD position in Reinforcement-Learning Control of an Ankle Exoskeleton
Stevens Institute of Technology

Date Posted Apr. 20, 2020
Title PhD position in Reinforcement-Learning Control of an Ankle Exoskeleton
University Stevens Institute of Technology
HOBOKEN, NJ, United States
Department Mechanical Engineering
Application Deadline Open until filled
Position Start Date Available Immediately
  • Graduate Student
  • Robotics
    Mechanical Engineering
    Electrical and/or Electronics
    Bioengineering (all Bio-related fields)

Are you interested in developing a new robotic orthosis to assist human walking? Are you curious to learn more about how AI-powered controllers can enable personalized exercise strategies for robot-assisted rehabilitation?

The Wearable Robotic Systems Laboratory at Stevens Institute of Technology (Hoboken, New Jersey, USA) is looking for a creative and talented PhD student to join the "SAFE-orthosis" project to develop learning-based control strategies that can self-adapt to an individual’s performance on-the-fly. The project is sponsored by a 5-year research grant from the National Science Foundation (NSF) and will cover salary, tuition, and the costs of attending conferences for one PhD student.

Project Tasks
The successful candidate will lead the following tasks:

  • improvements to the current design of the powered orthosis
  • development of new controllers based on the reinforcement learning framework
  • experimental validation through human testing with healthy adults and individuals who have suffered a stroke
    While working in the Wearable Robotic Systems Lab., the successful candidate will collaborate with our clinical partners at Kessler Institute for Rehabilitation, which is among the top two rehabilitation centers in the United States.

Minimum requirements

  • BSc and MSc degrees in mechanical, electrical, or biomedical engineering
  • coursework related to robotics and control
  • good academic standing (GPA > 3.0)
  • proficiency in written and oral English

Desired skills

  • coursework related to biomechanics of human locomotion
  • previous experience with MATLAB, SolidWorks, LabVIEW and/or C++
  • previous experience with servo motor control, data acquisition/processing and circuit board prototyping

Required documents include:

  • a cover letter (1-page max) specifying how your experience and skills match the position
  • a brief curriculum vitae
  • transcripts of BSc and MSc degrees
    Please submit your application as a single PDF file to
    All applications submitted by May 4, 2020 will be given full consideration.

About Stevens Institute of Technology
Stevens Institute of Technology is a premier, private research university situated in Hoboken, New Jersey, overlooking the Manhattan skyline. Our mission is to inspire, nurture and educate leaders in tomorrow’s technology-centric environment while contributing to the solutions of the most challenging problems of our time.

The Department of Mechanical Engineering is home to a number of faculty with expertise in robotics, including physical human-robot interaction and wearable robots, perception and navigation for autonomous vehicles, manipulation and grasping, control and planning, cyber-physical security, and robotics for manufacturing and automation.

The Stevens Institute for Artificial Intelligence offers a vehicle for collaboration among faculty and students in Mechanical Engineering, Biomedical Engineering, Electrical and Computer Engineering, Computer Science, Systems and Enterprises, and other disciplines with a shared interest in robotics/A.I.

  • Stevens is an Equal Opportunity Employer that is building a diverse faculty, staff and student body, and strongly encourages applications from women, minorities, veterans and individuals with disabilities.

Please reference in your cover letter when
applying for or inquiring about this job announcement.

Contact Information

  • Damiano Zanotto
    Mechanical Engineering
    Stevens Institute of Technology
    1 Casle Point Terrace
    Carnegie Laboratory, RM 213
    HOBOKEN, NJ 07310
  • 2012168296


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