We welcome Post-doc, Ph.D., M.S., and undergraduate applicants who have a strong background in:
Experience in some or all of the following fields is highly desirable:
Candidates must be demonstrably proficient in oral and written communication (prior publications, presentations etc.).
If you are interested in joining, please contact Prof. Kara with your CV. We strongly encourage you to apply if you have prior research experience (and ideally publications) in the above or related fields.
Graduate student applicants: In addition to sending your CV to Prof. Kara, please visit the Graduate Admission site for more info and to access the application portal.
Research positions in the above areas are available for highly motivated and capable undergraduate students. Please contact Prof. Kara to set up a meeting.
We strongly recommend the following courses in support of your research projects. The course descriptions and schedules can be found on the Schedule of Classes page.
|24755||Finite Element Method in Mechanics I (computational solid mechanics)|
|24703||Numerical Methods in Engineering (fundamentals in numerical computation)|
|24787||Machine Learning and Artificial Intelligence for Engineers|
|24788||Machine Learning and Artificial Intelligence for Engineers - Project|
|10601/701||Introduction to Machine Learning|
|11785||Introduction to Deep Learning|
|10703||Deep Reinforcement Learning and Control|
|16720||Computer Vision (good for deep understanding of convolutional neural network)|
|24771||Linear System (Advanced linear algebra; count towards math requirement)|
|24780||Engineering Computation (C++ / Fundamental coding skill)|
|15351/650||Algorithms and Advanced Data Structures (theory)|