Graduate Student Information

Prospective graduate students should have excellent preparation in undergraduate advanced calculus, linear algebra, and ordinary differential equations.  Prior training in numerical analysis, machine-learning, and partial differential equations is desirable, but can be obtained through coursework, graduate student reading groups, and research projects.  Undergraduate expertise in relevant areas of physics will also be helpful, but is not a prerequisite and can also be obtained through courses, reading groups, and research projects.  Individual research programs are tailored to the graduate student's research (theory versus computing) and career goals (academia versus industry).

We have weekly research group meetings, reading groups, and lunches that make learning and research fun and social.  

Please contact Mitchell Luskin at luskin@umn.edu for information about joining his group.