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Stat Assistant Professor

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Stat Assistant Professor last won the day on September 30 2020

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About Stat Assistant Professor

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    Cup o' Joe

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    Not Applicable
  • Program
    Statistics (faculty)

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  1. No worries, not insulted at all. Nobody denies that the "top" programs have more famous faculty and/or faculty who are consistently publishing in top journals. Therefore, your chances of getting an academic job may be positively correlated with program ranking. However, that is only one factor; it's really on you and your track record. If you didn't attend a "top" university for your PhD, you can partly compensate for that with a prestigious postdoc, letters from famous people in the field who are familiar with your work, etc. Only you can decide for yourself if it is worth it to reappl
  2. No, I don't think you would be "crazy" for seriously considering UT Austin. UT Austin is an excellent program with great faculty, and it's located in a highly desirable location (Austin is def one of the top cities in the USA, imo). One of their PhD graduates got a TT job at UCLA Statistics.
  3. I should qualify as well that if you're aiming to get a job at (say) Stanford or Harvard or one of those very elite schools, then your chances of doing that coming from a "lower" ranked program are probably slim, unless you're seriously amazing (very productive, tons of top publications, etc.). However, pedigree should not preclude you from getting an academic job at a fairly good school nonetheless. Even the vast majority of PhD graduates from the "elite" schools who go into academia will end up at flagship and public universities (there are only so many jobs at the "elite" schools, after all
  4. How "low" are you talking? Fwiw, I went to a PhD program ranked ~40 in USNWR, and we have placed PhD grads in TT faculty positions at Duke, University of Minnesota, UT Austin, etc. And I have also seen people who got their PhDs from Baylor, University of Cincinnati, and University of Illinois at Chicago (*not* UIUC) get TT jobs at Texas A&M, University of Florida, and Iowa State. It's not *just* about where you get your PhD. For example, Dave Dunson has a PhD from Emory (a very solid biostats program but not a Stanford/Berkeley/Harvard), and Michael I. Jordan (considered one of the
  5. Yeah, Harvard is really, really strong in the areas of causal inference and MCMC. For deep/maching learning and probability theory, I would say that Columbia, UC Berkeley, and UPenn Wharton have an edge over Harvard (e.g. you've got David Blei at Columbia, Michael Jordan and Martin Wainwright at Berkeley, Edgar Dobriban and Weijie Su at UPenn, etc.). There is also a large group of probability theory researchers in the Statistics Department at UCB, which is somewhat unusual nowadays (typically there is only one or two faculty in a Stats department working on pure probability theory topics).
  6. I think working with an Assistant Prof is probably fine. I have seen some TT faculty who had Assistant Professors as their PhD supervisors and who still landed many campus interviews for tenure-track positions. The most important things to consider when working with an Assistant Professor are: whether their research is a good "fit" and whether they can help you to be competitive in the job market for academia or industry (either because they can help you publish in the top tier journals/conferences or because they have solid industry connections), and whether they are productive en
  7. I'm sorry to hear that you are dealing with this. I don't really have much advice on how to rectify the specific issues with your department, but I do want to make a few observations. 1) It is true that international students typically have more extensive math backgrounds and are thus better prepared for the rigors of PhD coursework in statistics (e.g., it's commonly the case that a lot of international students have already taken classes at the level of Casella & Berger mathematical statistics, measure theory, etc., so in some sense, they already know the material in first-year cours
  8. Agreed, UCSC is a very good program, and they have decent academic placements (if you're interested in that). They've placed some PhD graduates at University of Chicago (Matt Taddy), University of Florida, BYU, and other good places in the past. The Statistics Department is relatively new (it was part of the Applied Math department until around 2019), which is why UCSC may not be ranked in the USNWR. If you aren't interested in Bayesian statistics *at all* though, then you probably shouldn't apply there. One thing I would note though... if you decide to go into industry, I'm not sure ho
  9. I think there are a few MS programs in Statistics that are truly competitive (in the U.S.A.)... Stanford, Yale, and Duke seem to have small Masters cohorts and are fairly selective. I would say that this is the exception rather than the rule. Even at some very elite institutions like University of Chicago and Columbia, it is not hard to get admitted to their Statistics MS program. Now, with the pandemic leading to so much virtual learning, I anticipate that schools will expand offerings for completely online Statistics MS programs, so there is even less need to be very selective about co
  10. I don't think domestic students are at any disadvantage for Masters programs in Statistics (and for *PhD* programs in Stat/Biostat, being domestic is actually an advantage if anything, because it's a little bit less competitive vs. for international students, NIH trainee grants can only go to U.S. citizens/permanent residents, etc.). MS programs in Stat aren't typically funded so they will tend to admit most people -- international OR domestic -- who meet the minimum program requirements for GPA, GRE Q score, and coursework (usually just Calculus I-III and Linear Algebra). I think it's ju
  11. Yes, you should feel free to take some time off during the summers. It's not good for your mental health (nor productive, tbh) to work all the time without a break! At my PhD program, the summer was divided into two sessions (so summer classes were offered in two 6 week sessions from May to mid-June and from late June-early August). Most of the PhD students went back home (international students often went back to their home country) and/or traveled within the U.S. during one summer session. And the other session, they TA'd, RA'd, or in some cases, taught their own class.
  12. It depends when the qualifying exams are. Some schools have them in August, in which case, you would probably spend the summer preparing. Others have them in May, so in that case, you could be done with them after May. I would say: Summer after year 1: study for quals if the exams are in August, TA or teach summer class Summer after year 2: study for quals if there is a second written exam. If not, then TA or teach, start research Summers 3 and beyond: TA or teach, continue PhD research Summer before intended graduation: summer internship I have found that many PhD
  13. If you are interested in academia, then I don't see any downside in attending UPenn Biostatistics. Somebody who graduated from UPenn Biostat this past spring got a job as Assistant Professor at Harvard Biostatistics (without having to do a postdoc). In the past, Penn Biostat has also placed someone as an Assistant Professor at Carnegie Mellon Statistics and Data Science. It depends on your publication record and your work. The two folks I alluded to were doing research in "hot" fields, which also helps too.
  14. I am not sure what "Applicable Algebra" is. Is this a proof-based linear algebra class or abstract algebra? I think analysis and maybe advanced linear algebra should be sufficient for the Biostat programs on your list. I think you are in good shape for Biostatistics programs. Some of the top Statistics programs (Chicago, Columbia, Berkeley) may have a preference for students who have deeper math backgrounds, so it's hard to gouge your chances to the stats programs on your list -- on the other hand, you have a strong pedigree and your research experience is solid, so I'm not sure how much adcom
  15. Since you're performing very well academically at an Ivy League School known for slight grade deflation and you have great research experience with some papers in preparation, I think your chances of getting into a top program are quite good. I think you should be able to get into those Biostatistics programs. For Stat, I don't think you need to apply to Northwestern. If you want to add a few "safer" options, I would add Texas A&M, UCLA, and NCSU (these aren't "safe" schools in general, but specifically for your profile, I think that they are very safe bets). That said, it is worth no
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