Research Fellow (Robust AI)

Job Description

Some Research Fellow positions are open in the research group of Prof. Shuzhi Sam Ge at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).
 
The Research Fellow will work closely with the Principal Investigator (PI) on one or more research projects about Robust AI.   
 
Job Description
 
This project will combine the strengths of machine learning and control theory and consider the complex dependencies among different sensor inputs to build a robust multimodal AI system that can serve safety-critical applications.
 
The successful candidate is required to:
•    Develop a robust multimodal AI system that can ensure the reliable computer vision of autonomous vehicles under adversarial attacks by combining control theory and machine learning;
•    Analyze the stability and robustness with theoretical guarantee of an AI model;
•    Digital Twin and Physical Simulation for AI Robustness Evaluation, for example, 3D scene reconstruction, Generation and Deployment of Attacks in the Digital Domain, etc;
•    To advance the knowledge, to publish in leading journals, conferences, or patents;
•    To prepare and meet the project deliveries and milestones.

Qualifications

Qualifications
•    A PhD in Computer Science, Engineering, Physics etc, with specialization related to machine learning, computer vision, control science, computer engineering or related field;
•    Prior experience in control theory, autonomous driving, hardware experience is advantageous;
•    Strong programming skills in one of the programming languages: Python, C/C++, Matlab, etc;
•    Strong first-author publication records in top-tier AI conferences;
•    Have prior project related experience and be able to work independently;
•    Strong organizational, writing and interpersonal communications.
•    Open to Fixed Term Contract

More Information

Location: Kent Ridge Campus

Organization: College of Design and Engineering

Department : Electrical and Computer Engineering

Employee Referral Eligible: No

Job requisition ID : 26447