I watched this video repeatedly before my chalk talk. Thanks to your video, I was able to get into my dream place! Thank you so much for your amazing seminar and for sharing this with the public!
I have gone on 5 campus visits (2 in 2020, 1 in 2021, 2 in this year, after 2 years of industry in between). I can attest this talk is on point about academic positions and choosing it as a long-term career. The concept of being a visionary scholar, and the communication of a grant applicant/PI, it's rarely taught in grad school classes, a good mentor might teach you those things, but not every mentor.
The best part of this session was to set us free from a machine learning boom which is obviously bubble. Machine learning doesn't work. It reproduces bias and error of reference (training) data. Thank you so much. These days a quality of journal is getting low because of meta data + machin learning boom. I don't understand why they don't understand non-linearity. Editors and profs think that more and more (although wrong + biased) data are better.
8:20 I looked at new faculty members who were hired in 2019~2022. None of them was outstanding or distinguished. Not even close. They had one or two papers. One girl said her strength that she thinks is to get a scholarship during phD, not billion dollar research grant or NSF funding...-,- Of course she had 1 or 2 papers.The university (it was top school) proudly posted this on their website. I thought this is like a beauty test to be selected by young age. World-class independent research sounds good but question is what the world-class is. Is it MIT graduate? Google scholarship? Or old man having 100 papers? Level of faculty is revealed when hiring a new faculty member...
Although these are all true and interview process is so intense, I still see a lot of professors doing research making no sense and have no insights into the field.
