Statistics and AI for Engineering and Smart Manufacturing

Details

Overview

We are thrilled to announce an exceptional PhD opportunity in the dynamic fields of Statistics and Artificial Intelligence, specifically tailored for Engineering and Smart Manufacturing. This project is designed for candidates eager to explore and expand the realms of statistical analysis and reliable AI in industrial pipelines, with a special emphasis on smart manufacturing and electronic design automation (EDA).

Key Research Areas

The successful candidate will embark on a journey of discovery and innovation in several key areas:

1. Modern Uncertainty Quantification for Industrial Pipelines:

• Concentrate on advanced Uncertainty Quantification methods in computational engineering and EDA.
• Implement UQ methodologies to tackle practical challenges in industrial settings, such as circuit design.
• Contribute to our ongoing successes in yield estimation and optimization for circuit design and manufacturing.

1. AI Techniques for Computational Engineering:

• Explore and develop physics-informed AI techniques, multi-fidelity fusion, and real-time digital twin technologies in collaboration with industrial partners, addressing practical challenges in fields like IC design and autonomous driving.

1. Advanced Statistics with Modern AI Techniques:

• Develop advanced statistical methods in AI using modern deep learning approaches, including Generative Adversarial Networks (GANs), Stochastic Variance Gradient Descent (SVGD), DDPM, and normalizing flow.

Candidate Profile

We are seeking a candidate who:

• Has a profound interest in the intersection of statistics, AI, and engineering.
• Is eager to contribute to groundbreaking research in smart manufacturing.
• Possesses a strong foundation in mathematics, statistics, or a related field.
• Is experienced or keen to learn advanced machine learning techniques.
• Is motivated to collaborate in a dynamic and innovative research environment.

What We Offer

• A platform to work on pioneering research with tangible industrial applications.
• Access to cutting-edge facilities and resources.
• A nurturing and collaborative research community.
• Expert guidance and mentorship from leaders in the field.
• An opportunity to make a substantial impact on advancing smart manufacturing technologies.
• A seamless pathway to join the AI community, applying it to industrial problems and improving AI by developing methods to refine its driving force—integrated circuits.

Embark on a transformative journey with us, where your passion for statistics, AI, and engineering can contribute to the future of smart manufacturing. We look forward to welcoming an innovative