Suggestions for grad schools to apply to

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SUMMARY

The discussion focuses on recommendations for graduate schools suitable for pursuing a PhD in pure mathematics, particularly in topology and geometry with connections to physics. Key institutions mentioned include UCSB, Stony Brook, UC Davis, Indiana University, Columbia, Stanford, UC Irvine, Michigan State, University of Illinois, Chicago, UCLA, and Georgia Tech. The importance of faculty reputation in these areas is emphasized, along with a caution regarding the potential shift towards pure mathematics that may not align with a student's interest in physics. Notable faculty members such as Greg Kuperberg, Vladimir Turaev, and Brian Greene are highlighted as influential figures in their respective departments.

PREREQUISITES
  • Understanding of topology and geometry concepts
  • Familiarity with the intersection of mathematics and physics
  • Knowledge of graduate school application processes
  • Ability to evaluate faculty research strengths and departmental rankings
NEXT STEPS
  • Research UCSB's geometry, topology, and physics research training group
  • Explore faculty research at Indiana University, focusing on Vladimir Turaev and his colleagues
  • Investigate the work of Brian Greene at Columbia University
  • Examine post-doctoral opportunities for students of Stavros Garoufalidis at Georgia Tech
USEFUL FOR

Prospective graduate students in mathematics, particularly those interested in topology and geometry, as well as individuals seeking to understand the balance between pure mathematics and its applications in physics.

deekin
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I'm starting to do some research into what grad schools I should apply to this fall for a pure math PhD. I'll be finishing my undergrad in May 2015 with a major in math and minor in physics. I'm not 100% sure what area I want to go in to, but I'm leaning more towards the topology and geometry side of things. I'm currently doing some work in topology (knot theory) and really enjoy it. I am also interested in geometry/topology research that is related to physics. As an example, I think UCSB may be a good fit because they have a research training group in geometry, topology, and physics and they have that connection with Microsoft Research Station Q. Stony Brook is another school I've been looking at.

I'd like to know if any of you have some suggestions of math departments to check out. I'm having a hard time finding places that are a good fit mainly because I don't really know how to tell if a dept's faculty in this area are very strong or not. Thanks.
 
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Maybe have a look at UC Davis (Greg Kuperberg), Indiana University (Vladimir Turaev, Dylan Thurston, Michael Larsen, Charles Livingston, Paul Kirk), Columbia (Brian Greene, Mikhael Khovanov), Stanford (Eliashberg), UC Irvine (Ronald Stern), Michigan State (Ronald Fintushel, Matt Hedden), University of Illinois, Chicago (Louis Kauffman), UCLA (Ko Honda), Georgia Tech (John Etnyre). All the parentheses people have a pretty good reputation. It's not an exhaustive list by any means. Just some ideas. You can always look at the rankings, but they don't tell the whole story.

I came into math from that same topology/physics direction in my undergrad. A general warning is that you might be pulled too far in a pure math direction if you get a math PhD. Some people are okay with that. I wasn't too happy with it. I can handle pure math, but as someone with more of a scientist's curiosity to understand nature, it wasn't quite what I was looking for. Generally, it's very hard to do both math and physics on a deep level, especially as a graduate student, where you are forced to specialize to a large degree in order to finish in a reasonable time period. Some people can pull it off, but it's not easy.
 
Awesome! Thank you so much homeomorphic, I was hoping you'd chime in. The list of people to pay attention to is especially helpful. Georgia Tech also has this guy Stavros Garoufalidis that looks like he does some cool stuff and his students seem to get good post-doc positions afterwards. Once again, thank you.
 

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