Hadi Meidani
Top university
1 year ago
Uncertainty Quantification University of Illinois Urbana-Champaign (UIUC) in United States
Degree Level
PhD
Field of study
Computer Science
Deadline
Expired
Country
United States
University
University of Illinois at Urbana-Champaign
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Where to contact
Official Email
Keywords
Computer Science
Data Science
Machine Learning
Biomedical Engineering
Mechanical Engineering
Artificial Intelligence
Computational Physics
Computational Mechanics
Programming
Uncertainty Quantification
Numerical Methods
Research Experience
Engineering Design
Healthcare Engineering
physicss
Healthcare
Interdisciplinary Teams
Physics-informed Machine Learning
Physics-based Machine Learning
About this position
How to apply
Send CV, BS and MS manuscripts, brief statement of research interests, and work samples to [email protected]
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I am hiring motivated and talented Ph.D. students to join the Uncertainty Quantification Group at the University of Illinois Urbana-Champaign (UIUC) to work at the intersection of AI and applied sciences. These positions will be on:
AI for Healthcare: Modeling tissues and organs using advanced AI and physics-based machine learning techniques; Developing machine learning models for disease risk forecasting.
AI-based physics simulation for accelerated industrial design.
Required Background:
- Strong foundation in machine learning, numerical methods, and programming.
- Experience or interest in working with physics-based models or hybrid AI systems.
Preferred Qualifications:
- Familiarity with physics-informed machine learning or computational mechanics.
- Experience in applying ML to real-world problems, especially in engineering or healthcare.
- Strong problem-solving skills and the ability to work in interdisciplinary teams.
- Prior research experience (e.g., publications, projects) is a plus.
?? Apply Now!
If you’re interested, please send your CV, BS and MS manuscripts, and a brief statement of research interests, and any relevant work samples to [email protected] . Applications will be reviewed on a rolling basis.
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