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.
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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!
very inspirational, I recommend people rewatch it again and again, it is very thought-provoking, learnt a lot.
This is the best talk I've heard about the faculty job application. Thanks for sharing it!
This is the best advise. Other lectures at youtube are all talking about chalk talk or interview -,- after "arbitrarily" being short-listed.
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.
I am preparing for the job market, and I am so grateful that UA-cam recommended this video to me.
Thanks for being brutally honest.
As I am on the market for a faculty job, your talk is really helpful! Thanks for sharing!
Thank you so much for sharing this impressive presentation!
Thank you for sharing this amazing talk. I wish I could have watched this during my PhD training...
Such a great talk. Very compelling and a lot of hard work. Thank you for sharing!
Very powerful video for academia application！
Several strong messages here for all PhD and Postdocs
Thank you for sharing! This talk is amazingly helpful at this point in my career.
Many thanks for sharing your experience.
amazing presentation. thank you for sharing.
Thank you for sharing, this was extremely helpful!
Impressive presentation-informative and inspirational!
What a great talk! Very encouraging and insightful!
Fantastic talk! Thank you for sharing.
Great talk! Thanks for sharing!
thank you so much for the information, your perspective on this is valuable
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.
Your future begins with your next thought.
Genuine and informative!
Amazing presentation!!!
Everyone needs to hear the "My Story" part around 33:45.
Immensely valuable. Thanks
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...
Great talk!
The most genuine career talk ever! Would you care to share more about the training of charisma and voice control? 😊
Thanks!
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.
Great talk thanks for sharing. Can we get the slides of these presentation. They are very informative and will be veru appriciated if shared.
same request, the fonts are kind of small on the slides in this video. This is a great talk!
Hi! Same request here. Did you get the slides?
@@changliu8430 No. I did not.
Thank you so much for sharing such a great talk!
Thank you so much for sharing! Although I m in social science and applying for a UK lecturer position it's still helpful.
lucky to watch this video, thanks！