Post-doctoral Associate In The Division Of Engineering

Description:

The Division Of Engineering At New York University Abu Dhabi Seeks To Recruit a Motivated Post-doctoral Associate With a Strong Background In Control Systems And Machine Learning To Join The Research Team Of Prof. M. Umar B. Niazi. The Position Focuses On The Development Of Digital Twins Using Physics-informed Learning Approaches, With Specific Applications To Intelligent Transportation Systems (ITS). In Particular, The Successful Candidate Will Conduct Cutting-edge Research In
 

• Developing physics-informed neural networks (PINNs) for complex dynamical systems modeling and observer design
• Creating and validating digital twin architectures that incorporate physical laws and constraints
• Applying digital twin technology to ITS applications such as traffic management, vehicle routing, and infrastructure monitoring, as well as connected autonomous vehicles
• Integrating multi-modal sensor data with physics-based models
• Developing robust and adaptive methods for real-time parameter and state estimation
• Implementing machine learning approaches that preserve physical constraints while handling ITS-specific challenges
   

Required Qualifications

The requirements for the applicants include:
 

• Ph.D. in Electrical Engineering, Computer Science, Applied Mathematics, or related fields
• Strong background in control systems, machine learning, and scientific computing
• Programming proficiency and experience with simulation tools
• Excellent publication record in peer-reviewed journals
• Strong written and verbal communication skills