Introduction
Faculty placement statistics in neuroscience are very hard to come by, even though this is extremely useful information in choosing schools or estimating chances at a given school.
Most programs don't have a clearly visible list of faculty placements, and professors don't always keep track of alumni placements or may too young to have placed any students. Aspiring neuroscience students and post-docs, then, are often left to estimate their chances based on the perceived prestige of their school, a notoriously ambiguous metric.
This is made harder by the fact that the rankings are not consistent. For instance, The Chronicle NRC rankings lists Brandeis and Caltech as top 10 by academic research, but the US News ranking lists both as below top 50. Neither Princeton nor Carnegie Mellon are even listed in the NRC rankings, even though both are top-notch neuroscience research schools.
Fortunately, people have been cataloging neuroscience students and faculty on Neurotree, along with PhD and post-doc positions. This allows us to estimate faculty placement rates for each university.
Methodology
I scraped all the people associated with a list of schools. To determine whether someone is a professor, I check that they have at least one grad student listed (this can exclude some newer professors, placing them in "PhD unclear" category).
Since people who completed a PhD but did not obtain a faculty position tend to be unlisted, I normalized the number of PhD students placed by all PhD (placed and unclear) and number of professors listed at institution (as another proxy for size).
Ratio = PhD placed / (PhD placed + PhD unclear + Professors listed)
This ratio is my current best estimate of the faculty placement rate. Depending on the amount and type of missing data on neurotree, this could be either an overestimate or underestimate (mostly depending on how many unplaced PhD students are listed).
You can find the code for computing these tables along with brief instructions here: https://github.com/lambdaloop/neurotree-scrape
PhD placement rankings
Here is the table. Only schools with at least 20 listed PhDs placed are listed. Only a select set of schools outside America are listed for comparison, as I didn't try to do a thorough listing of these (most have few people in neurotree anyhow).
Institution | Ratio | PhD placed | PhD unclear | Professors listed |
---|---|---|---|---|
ANU | 0.389 | 21 | 11 | 22 |
Johns Hopkins | 0.369 | 93 | 59 | 100 |
MIT | 0.368 | 175 | 77 | 224 |
Rockefeller | 0.357 | 55 | 26 | 73 |
Oxford | 0.320 | 126 | 68 | 200 |
Cambridge | 0.314 | 89 | 48 | 146 |
Harvard Medical School | 0.286 | 52 | 50 | 80 |
Brown | 0.250 | 85 | 50 | 205 |
Hebrew University | 0.250 | 32 | 17 | 79 |
Harvard | 0.245 | 248 | 85 | 678 |
Johns Hopkins Medical School | 0.242 | 29 | 21 | 70 |
UCL | 0.240 | 88 | 68 | 211 |
Stanford | 0.233 | 222 | 95 | 636 |
Edinburgh | 0.228 | 29 | 21 | 77 |
Caltech | 0.218 | 83 | 33 | 264 |
Princeton | 0.213 | 63 | 46 | 187 |
Rutgers | 0.207 | 31 | 25 | 94 |
Yale | 0.198 | 158 | 89 | 551 |
UC Berkeley | 0.194 | 209 | 102 | 769 |
Concordia | 0.185 | 22 | 15 | 82 |
Chicago | 0.184 | 125 | 79 | 474 |
Penn | 0.179 | 157 | 94 | 624 |
Cornell | 0.177 | 69 | 48 | 272 |
McGill | 0.169 | 95 | 66 | 401 |
Carnegie Mellon | 0.162 | 44 | 35 | 192 |
Michigan, Ann Arbor | 0.162 | 165 | 106 | 748 |
Syracuse | 0.151 | 24 | 10 | 125 |
Columbia | 0.143 | 146 | 95 | 783 |
Rochester | 0.140 | 59 | 43 | 318 |
UCSF | 0.138 | 66 | 56 | 355 |
University of Washington | 0.136 | 109 | 87 | 606 |
University of Iowa | 0.132 | 70 | 65 | 395 |
Dartmouth | 0.130 | 21 | 29 | 112 |
University of Oregon | 0.129 | 36 | 26 | 216 |
Baylor | 0.124 | 25 | 30 | 147 |
UW Madison | 0.123 | 113 | 90 | 712 |
Duke | 0.121 | 72 | 62 | 462 |
UCSD | 0.118 | 119 | 87 | 799 |
Indiana University | 0.116 | 78 | 60 | 536 |
UCLA | 0.115 | 138 | 123 | 934 |
Brandeis | 0.112 | 26 | 13 | 194 |
OHSU | 0.111 | 20 | 37 | 123 |
CU Boulder | 0.109 | 38 | 40 | 272 |
UIUC | 0.109 | 65 | 46 | 488 |
Case Western | 0.108 | 30 | 28 | 220 |
UVA | 0.103 | 51 | 40 | 404 |
University of Toronto | 0.103 | 74 | 67 | 578 |
U Mass Amherst | 0.101 | 34 | 35 | 266 |
UC Irvine | 0.098 | 55 | 55 | 450 |
UMN | 0.098 | 94 | 79 | 790 |
Michigan State | 0.094 | 41 | 43 | 353 |
SUNY Stony Brook | 0.093 | 33 | 30 | 291 |
Ohio State | 0.092 | 48 | 46 | 426 |
Washington University | 0.092 | 54 | 49 | 483 |
Vanderbilt | 0.089 | 45 | 50 | 408 |
University of Arizona | 0.080 | 35 | 27 | 375 |
University of Utah | 0.077 | 28 | 33 | 302 |
UC Davis | 0.075 | 40 | 63 | 430 |
Purdue | 0.075 | 34 | 41 | 379 |
UNC Chapel Hill | 0.073 | 55 | 53 | 642 |
Penn State | 0.072 | 41 | 39 | 487 |
Florida State | 0.071 | 28 | 24 | 345 |
Northwestern | 0.069 | 57 | 72 | 701 |
University of Maryland | 0.068 | 38 | 36 | 482 |
University of Florida | 0.068 | 50 | 50 | 634 |
UT Austin | 0.066 | 57 | 59 | 743 |
NYU | 0.064 | 53 | 55 | 715 |
USC | 0.059 | 48 | 44 | 723 |
Emory | 0.056 | 27 | 54 | 397 |
Boston University | 0.056 | 39 | 55 | 597 |
Université de Montréal | 0.053 | 20 | 36 | 319 |
University of Pittsburgh | 0.053 | 31 | 68 | 487 |
Postdoc placement rankings
With the data from neurotree, we can also compute a similar table but for post-doctorates, for which rankings are very hard to find. Interestingly, this list is a bit different from the PhD faculty placement rates.
Institution | Ratio | Post-docs placed | Post-docs unclear | Professors listed |
---|---|---|---|---|
Caltech | 0.537 | 116 | 23 | 77 |
Rockefeller | 0.535 | 114 | 20 | 79 |
NIMH | 0.500 | 76 | 13 | 63 |
NYU School of Medicine | 0.438 | 21 | 10 | 17 |
Harvard | 0.428 | 151 | 50 | 152 |
Cambridge | 0.423 | 60 | 25 | 57 |
Salk Institute | 0.407 | 88 | 24 | 104 |
MGH | 0.393 | 22 | 15 | 19 |
MIT | 0.392 | 155 | 37 | 203 |
UC Berkeley | 0.390 | 120 | 49 | 139 |
Johns Hopkins | 0.389 | 65 | 36 | 66 |
Yale School of Medicine | 0.387 | 24 | 18 | 20 |
Harvard Medical School | 0.374 | 145 | 59 | 184 |
Stanford | 0.372 | 186 | 62 | 252 |
NIH | 0.367 | 66 | 26 | 88 |
Carnegie Mellon | 0.362 | 21 | 14 | 23 |
UCSD | 0.359 | 111 | 68 | 130 |
Oxford | 0.358 | 64 | 51 | 64 |
University of Arizona | 0.348 | 23 | 21 | 22 |
CSHL | 0.347 | 33 | 13 | 49 |
CU Boulder | 0.333 | 27 | 20 | 34 |
UCSF | 0.333 | 160 | 58 | 263 |
Washington University | 0.331 | 58 | 38 | 79 |
UCL | 0.329 | 92 | 52 | 136 |
UVA | 0.328 | 20 | 20 | 21 |
Columbia | 0.323 | 106 | 52 | 170 |
Princeton | 0.308 | 44 | 25 | 74 |
Yale | 0.307 | 95 | 51 | 163 |
UW Madison | 0.300 | 51 | 50 | 69 |
University of Iowa | 0.296 | 21 | 28 | 22 |
UCLA | 0.294 | 112 | 76 | 193 |
NYU | 0.287 | 64 | 40 | 119 |
Cornell | 0.287 | 35 | 23 | 64 |
Vanderbilt | 0.287 | 49 | 45 | 77 |
UMN | 0.282 | 31 | 37 | 42 |
Brandeis | 0.282 | 20 | 13 | 38 |
University of Washington | 0.278 | 79 | 64 | 141 |
SUNY Stony Brook | 0.278 | 20 | 19 | 33 |
Rochester | 0.276 | 35 | 37 | 55 |
Rutgers | 0.276 | 27 | 25 | 46 |
UC Irvine | 0.273 | 39 | 34 | 70 |
Duke | 0.271 | 61 | 44 | 120 |
Baylor | 0.263 | 46 | 34 | 95 |
Johns Hopkins Medical School | 0.260 | 45 | 26 | 102 |
Indiana University | 0.250 | 23 | 24 | 45 |
Boston University | 0.243 | 25 | 30 | 48 |
Chicago | 0.239 | 33 | 40 | 65 |
Penn | 0.239 | 78 | 67 | 182 |
Brown | 0.232 | 32 | 41 | 65 |
OHSU | 0.231 | 39 | 34 | 96 |
University of Florida | 0.225 | 20 | 26 | 43 |
McGill | 0.219 | 35 | 44 | 81 |
UNC Chapel Hill | 0.212 | 36 | 43 | 91 |
Michigan, Ann Arbor | 0.200 | 33 | 55 | 77 |
University of Toronto | 0.191 | 21 | 44 | 45 |
UC Davis | 0.189 | 32 | 48 | 89 |
Northwestern | 0.173 | 37 | 48 | 129 |
University of Pittsburgh | 0.166 | 35 | 49 | 127 |
Emory | 0.145 | 21 | 42 | 82 |