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 Deep Learning in Safety and Security.
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 Neural network vulnerabilities and defenses, Anomaly detection, Adversarial machine learning, Computer vision, Swarms, Autonomous Robots, and Embedded systems development is desired.
The position is open to PhDs with 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 development of methodologies for attacks and defenses for deep neural networks (DNNs).
This will include development of attacks and defenses in both white-box and black-box contexts for DNNs applied to various tasks including object classification, autonomous vehicle navigation, and cyber-physical system (CPS) control.
As part of this work, the successful applicant will work on generative adversarial network (GAN) methods for attacks and defenses, sensor data processing and data fusion, training-time attacks (e.
g., backdooring) and inference-time attacks (e.g., adversarial perturbations), off-line and on-line defenses, anomaly detection in CPS, and attacks and defenses in multi-robot cooperative task applications.
The algorithmic development will need to take into account various uncertainties and adversarial elements wherein some agents in a swarm have been modified by an adversary.
Experience with deep learning for natural language processing applications and secure deep learning would also be a plus.
The work will include algorithm design, prototype implementation (e.g., in Matlab / Python), deployment (to the agents' onboard computational hardware 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 (e.g., C, C++, Linux, MATLAB, Python, Robot Operating System, Gazebo Physics Engine Simulator) is required.
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 Farshad Khorrami at , or Professor Antonios Tzes at anthony.tzes nyu.edu.
About CAIR :
The Center for Artificial Intelligence and Robotics (CAIR) is a leading research center led by Profs. Tzes, Khorrami, and LeCun as Director and Co-Directors, respectively.
Its mission is to develop cutting edge technologies in robotics and AI (Autonomous Robots, SLAM, Navigation, Perception, Human-Brain Interface, Deep Learning and their Security, etc.
CAIR has state of the art autonomous unmanned vehicles (aerial, ground, legged, and underwater) robotic systems experimental facilities.
There are significant collaborations among faculty at NYU Abu Dhabi and New York in creation and activities of CAIR.
About NYUAD :
NYU Abu Dhabi is a degree-granting research university with a fully integrated liberal arts and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering.
NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU’s global network university, an interconnected network of portal campuses and academic centers across six continents that enable seamless international mobility of students and faculty in their pursuit of academic and scholarly activity.
This global university represents a transformative shift in higher education, one in which the intellectual and creative endeavors of academia are shaped and examined through an international and multicultural perspective.
As a major intellectual hub at the crossroads of the Arab world, NYUAD serves as a center for scholarly thought, advanced research, knowledge creation, and sharing, through its academic, research, and creative activities.
EOE / AA / Minorities / Females / Vet / Disabled / Sexual Orientation / Gender Identity Employer and UAE Nationals are encouraged to apply.
This institution is using Interfolio's Faculty Search to conduct this search. Applicants to this position receive a free Dossier account and can send all application materials, including confidential letters of recommendation, free of charge.
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