RISC invites qualified applicants in the areas of electrical, computer, or mechanical engineering, or other related department to apply.
The successful applicants will design controllers for a variety of complicated systems. These include humanoids, quadrupeds, omnidirectional drones and others. These controllers will rely on principles like Reinforcement Learning (RL), Model Predictive Control (MPC), or other Optimized Controllers. Essentially this position is in the realm of Artificial Intelligence (AI), Control and target as applications the Robotics area. The applicant should to publish some of his/her results in top conferences/journals including the Control and Decision Conference (CDC), International Conference on Automation and Robotics (ICRA) and others.
Applicants must have a Degree in Computer Engineering, Computer Science, Electrical Engineering, Mechanical Engineering or closely related fields. Experience with control systems including the design of RL and MPC are required. Work with autonomous robots and competency in the Robot Operating System, and/or Physics Engine Simulators are preferred.
The terms of employment are very competitive and include housing and educational subsidies for children. Applications will be accepted immediately and candidates will be considered until the position is filled. For consideration, applicants need to submit a cover letter, curriculum vitae with full publication list, degree transcript, statement of research interests, and at least two letters of reference, all in PDF format. If you have any questions, please email Professor Anthony Tzes at anthony.tzes@nyu.edu.
