A fully supported PhD position on Machine Learning for Scientific Computing is available in the Department of Mechanical and Aerospace Engineering at Rutgers University. The successful applicant will work under the supervision of Dr. George Moutsanidis. The desired start date is Spring 2027 or Fall 2027.
The PhD project will focus on the development and application of advanced machine learning techniques to computational mechanics, with an emphasis on meshfree and particle-based methods such as smoothed particle hydrodynamics (SPH) and the material point method (MPM). This includes both data-driven and physics-informed approaches, with potential applications in optimization, surrogate modeling, and uncertainty quantification.
Required Qualifications:
- MS degree in Engineering, Applied Mathematics, or a related field
- Solid academic background in the theory and application of novel machine learning techniques, such as deep operator networks, graph neural networks, and generative AI methods
- Solid academic background in scientific computing
- Excellent coding skills
- Exceptional analytical and problem-solving skills
- Strong communication and teamwork skills
- Familiarity with particle-based numerical methods (e.g., SPH, MPM) is a plus.
Why join Rutgers University? Rutgers University–New Brunswick is the flagship campus of New Jersey’s state university system and a member of the Big Ten Academic Alliance. Located less than an hour from New York City and within easy reach of Philadelphia, it offers access to a vibrant academic and industrial ecosystem. The Department of Mechanical and Aerospace Engineering is home to a dynamic group of faculty with diverse expertise, strong external funding, and state-of-the-art research facilities. Rutgers is also a designated R1 research university, providing a stimulating environment for interdisciplinary research and collaboration across engineering, computer science, and applied mathematics.
Interested applicants are encouraged to communicate their interest to Dr. Moutsanidis by email (george.moutsanidis [at] rutgers.edu (george[dot]moutsanidis[at]rutgers[dot]edu)) and to submit the following material:
- Graduate and undergraduate transcripts
- CV
- Any relevant publications
- Contact information for at least three faculty members who can provide letters of recommendation
- GRE scores, and TOEFL scores if applicable
Review of applications will begin immediately, and the position will remain open until filled.