We are looking for new group members with passion and talent!
You will have the opportunity to work at the frontier of scientific machine learning, where physical and mathematical structure meets modern AI. You’ll be involved in identifying meaningful scientific questions, developing new architectures grounded in geometry and mechanics, and applying these tools to model complex systems where traditional methods fall short. Your work may span the design of graph-based learning algorithms, integration with finite element methods, and deployment in high-impact domains such as climate modeling, fusion energy, or soft matter physics.
Applications should be submitted via email and should include a cover letter, a CV, a publication list, a detailed summary of research experience and interests, and three references uploaded in one attachment. In your cover letter please make sure to explain why you want to work with us, what areas you have previously worked on, and what would like to work on in the future.
We currently advise students through the following M.Sc. and Ph.D. programs:
Please check out the respective programs and apply to whichever fits better with your profile. Admissions are made at a department level by appointed committees. Unfortunately we cannot address all the requests we receive, but if you think you have a compelling story, with concrete links to our past or current research, please reach out!
If you are a UPenn undergraduate and are interested in getting involved in the center’s research, feel free to get in touch. Applications should be submitted via email and should include a cover letter, a CV, a publication list, a detailed summary of research experience and interests, and three references uploaded in one attachment.
On the computational end, courses in the following areas will help to get involved in the lab’s research: machine learning, scientific computing, computational fluid and solid mechanics, and high performance computing. Solid Python programming skills are important.
