Research Assistant (DesCartes - WP2)

at  CNRSCREATE LTD

DesCartes Program (Work Packages 2) is looking for a Research Assistant.
The DesCartes program aims to develop disruptive hybrid AI to serve the smart city and to enable optimized decision-making in complex situations, encountered for critical urban systems.

DESCRIPTION

Inverse problems (IP), where the goal is to estimate unknown latent parameters given the model dynamics and some observation data, are key challenges in many science and engineering disciplines. In these settings, we typically have rich domain knowledge on the model dynamics, such as the form of governing partial differential equations (PDEs). In this role, the research assistant (RA) will be working closely with other researchers to develop data-efficient, physics-informed methods to solve inverse problems of practical science and engineering settings, building on state-of-the-art tools such as physics-informed neural networks and neural operators that makes use of both data and prior physics domain knowledge, as well as approximation methods that can be practically implemented on real-life massive and noisy settings.

EXPERIENCE & QUALIFICATIONS

• a Bachelor’s degree in computer science and engineering, statistics, math, data science, operations research or other related disciplines from a reputable university and a strong academic track record (especially in math, statistics, and algorithms courses)
• He/she must have a strong proficiency in programming.
• A good publication record in the premier machine learning and AI conferences and/or journals is a bonus.

Please refer the Job description for details