Post-Doctoral Associate in the Center for Artificial Intelligence and Robotics

The Center for Artificial Intelligence and Robotics (CAIR) at New York University Abu Dhabi invites applicants to apply for the open Postdoc position in the Project Collaborative Multi-Robot Swarms in Unknown Environments.

CAIR invites qualified applicants with a doctorate degree in the areas of electrical, or computer, or mechanical engineering, or related field to apply. A strong publication record is encouraged and previous experience in areas such as Distributed control and optimization, Swarms, Autonomous Robots, Embedded systems development, Collaborative and adversarial control, and Simultaneous Localization and Mapping (SLAM) is desired.

The position is open to PhDs with a background in robotics, controls, AI, and/or computer vision. The candidate is expected to work in a highly collaborative multi-disciplinary environment with other post-doctoral associates, PhD and undergraduate students, as well as faculty members. It is expected that applicants have a strong publication record in the aforementioned areas. The applicants are also expected to have strong analytical, communication, and writing skills.

The successful applicant will work on several projects including the development of distributed multi-agent autonomous systems and related technologies. This will include the development of distributed monitoring algorithms enabling agents in a multi-agent swarm to autonomously locate other agents in its neighborhood, analyze their behavior, and probabilistically predict future motions/behaviors.

As part of this work, the successful applicant will work on sensor data processing and data fusion, dynamics modeling and estimation, multi-agent collaboration algorithms, and inter-agent distributed introspection of agent behaviors to detect behavioral modifications (due to malfunctions and/or attackers).

The algorithmic development will need to take into account various uncertainties and possible adversarial elements wherein some agents in a swarm have been modified by an adversary. The work will include algorithm design, prototype implementation (in Matlab/Python), deployment (to the agents’ autopilots using the Robot Operating System), and experimental testing (on unmanned vehicle swarms).

A solid competency with the standard implementation tools used in autonomous robots and embedded systems (C, C++, Linux, MATLAB, Python, Robot Operating System, Ardupilot, Solidworks, Gazebo Physics Engine Simulator) is required. The terms of employment are very competitive and include housing and educational subsidies for children.