PhD Positions in Artificial Intelligence: The AI4D Lab invites applications for fully funded PhD positions for enthusiastic researchers interested in scientific machine learning, computational physics, design and optimization, fluid dynamics, and aerodynamics. Successful candidates will work on cutting-edge mathematical solutions and data-driven algorithms to tackle complex design and optimization challenges, particularly in fluid dynamics. Collaboration opportunities with industry and academia are available, with starting dates between Fall 2024 and Fall 2025.
Fully Funded PhD Positions in Artificial Intelligence for Design (AI4D) Lab
Summary Table:
| Scholarship Type | PhD Positions |
|---|---|
| Funding Coverage | Tuition, insurance, and stipend |
| Study Area | Scientific machine learning, computational physics, design and optimization, fluid dynamics, aerodynamics |
| Application Deadline | Until position filled |
Study Area: Scientific machine learning, computational physics, design and optimization, fluid dynamics, aerodynamics.
Scholarship Description: The AI4D Lab is dedicated to developing state-of-the-art mathematical solutions and data-driven algorithms for multi-disciplinary design optimization (MDO) in complex systems, with a particular focus on fluid dynamics. Fully funded PhD positions are available, covering tuition, insurance, and stipend. Successful candidates may collaborate with industrial and academic partners, with flexible starting dates from Fall 2024 to Fall 2025.
Eligibility: Applicants must meet the following qualifications:
- Hold a Master’s degree in mechanical, aerospace, applied mathematics, or a related field
- Possess hands-on experience in AI/ML, reduced-order modeling, and computational methods
- Proficient in Python, Julia, or C++ programming
- Strong understanding of fluid mechanics, aerodynamics, and turbulence
- Experience in CFD software development or familiarity with algorithms used in CFD methods
Required Documents: Interested candidates should submit the following documents via email:
- Brief cover letter
- CV
How to Apply: Please email your brief cover letter and CV to Dr. Hamid R. Karbasian at karbasian@mit.edu with the subject “PhD Application – SML”.
Last Date: Until position filled
About SMU and Dallas: Southern Methodist University (SMU) is a prestigious private university located in Dallas, Texas, offering a comprehensive engineering program and state-of-the-art HPC centers for computational and AI/ML research. Dallas, one of the largest and most diverse cities in the US, provides abundant opportunities for engineering graduates with its vibrant cultural scene and economic prospects.
