最近刚结束可怕的job searching
想说留学版上应该有些人未来也想走教职
在此分享一下个人浅见与心得
希望能够帮助未来有志于学术的人
## Background:
2007-2011 B.S in Physics at NTU
2011-2012 当兵T____T
2012-2016 Ph.D in Statistics at Carnegie Mellon University
Advisors (有3位):
- Larry Wasserman (Statistics/Machine Learning)
- Christopher Genovese (Statistics)
- Shirley Ho (Physics/Astronomy)
## Research Area:
- Statistics: nonparametric statistics, empirical processes,
topological data analysis, applied statistics
- Machine Learning: cluster analysis, statistical learning theory
- Cosmology: large-scale structure, astrostatistics
## Publication:
- 3*统计期刊 (2*Annals of Statistics, 1*Electronic Journal of Statistics)
- 1*Machine Learning conference (1*NIPS)
- 3*天文期刊 (2*MNRAS, 1*ApJS)
- 其他8篇preprint/under review
ps. 统计的发表量都很少 许多顶尖学校只要1-3篇就可以毕业
## Interviews:
投25家 拿到13家on-site面试 都是Assistant Professor (tenure-track)
最后拿到4个offers
统计系:
Stanford, University of Washington, University of Michigan,
University of Pennsylvania, Columbia, Cornell, UC-Davis, Ohio State,
Rice, UIUC, UT-Austin
商学院:
University of Chicago-Booth, USC-Marshall
## Final decision:
University of Washington
这间是我最想去的学校 研究领域全面 学术声望好(Top 5统计系) 地点好
其他教授们也好相处 地灵人杰啊～