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!
you have my respect sir. I was afraid of this process and dropped out after my first year. I do have a better salary now compared to my grad school days. But I always told myself that once I'm done with the kids and mortgage. I wanted to go back and do my PhD again. I just love thinking about science all day.
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.
@@m-sa4335 Happy to share. Yes, but it says nothing about me really. Most of the cases when I didn't get the job, I had inside intel and it's about politics. Those who control the spice control the universe, where spice being money/funding, and universe being all decisions they see profit in, e.g., hiring, promotion, awards.
Fantastic. I am in the first year of my PhD program at MIT and was thinking similarly to how you described your early though process- thank you for sharing this perspective
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...
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.
On the practicing communication part, something I've liked, as someone who tends to struggle with controlling my stream of consciousness during conversation, is taking a random word generator and talking about the generated word for 2-5 minutes. I've only been doing it for a few weeks, and I've already seen improvement in the way I can distill the stream of consciousness into a cohesive message. Vinh Giang (TH-cam famous communication skills teacher) suggests the practice as a way to improve the mind-mouth connection.
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.
Considering the reactions in the comments sections, I’m worried about the state of professionalization in so-called hard science departments. Graduate students in my discipline are constantly taught how to interview. I thought this was common knowledge and practice across graduate programs in the US. It seems like you are doing a great service by teaching these things.
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!
you have my respect sir. I was afraid of this process and dropped out after my first year. I do have a better salary now compared to my grad school days. But I always told myself that once I'm done with the kids and mortgage. I wanted to go back and do my PhD again. I just love thinking about science all day.
NOT THE DEALING WITH DEPRESSION SLIDE 😭😭😭😭
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.
So is learning how to spell check. THAT is GREAT "advice."
I am preparing for the job market, and I am so grateful that TH-cam recommended this video to me.
hope yours went well
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.
Did you get the position finally? what do you see as your weakness for the first visits that caused you not to get the job, if you don't mind sharing?
@@m-sa4335 Happy to share. Yes, but it says nothing about me really. Most of the cases when I didn't get the job, I had inside intel and it's about politics. Those who control the spice control the universe, where spice being money/funding, and universe being all decisions they see profit in, e.g., hiring, promotion, awards.
😂 some things can't or shouldn't be taught, that's the hallmarks of good scientists. It's almost always never too late thou
Everyone needs to hear the "My Story" part around 33:45.
Thanks for being brutally honest.
The most genuine career talk ever! Would you care to share more about the training of charisma and voice control? 😊
Fantastic. I am in the first year of my PhD program at MIT and was thinking similarly to how you described your early though process- thank you for sharing this perspective
As I am on the market for a faculty job, your talk is really helpful! Thanks for sharing!
Thank you for sharing this amazing talk. I wish I could have watched this during my PhD training...
I'm an undergrad now looking to along on this path. This was so inspiring. Thank you Professor Sun!
I don't even have a PhD but this was such an awesome talk and some of the points apply to general career as well. Great public speaker!
Such a great talk. Very compelling and a lot of hard work. Thank you for sharing!
Thank you so much for sharing this impressive presentation!
Thank you so much for sharing! Although I m in social science and applying for a UK lecturer position it's still helpful.
Thank you so much for sharing such a great talk!
Amazing talk, thank you! I am going to start searching for jobs soon and having your insight about the procedure is going to be helpful :)
Thank you for sharing! This talk is amazingly helpful at this point in my career.
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...
What a great talk! Very encouraging and insightful!
Many thanks for sharing your experience.
Great talk! Coming from a philosophy gradaute student this applies to my field to a large extent too.
thank you so much for the information, your perspective on this is valuable
Thank you for sharing, this was extremely helpful!
Several strong messages here for all PhD and Postdocs
I’m saving this for the future… currently a 3rd year undergrad
Fantastic talk! Thank you for sharing.
Thank you so much for sharing this video!
lucky to watch this video, thanks！
Your future begins with your next thought.
Impressive presentation-informative and inspirational!
Great talk! Thanks for sharing!
amazing presentation. thank you for sharing.
Very powerful video for academia application！
Amazing presentation!!!
Genuine and informative!
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.
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.
Can you pinpoint the part they talk about this? Haven’t watched the whole thing. Thanks
On the practicing communication part, something I've liked, as someone who tends to struggle with controlling my stream of consciousness during conversation, is taking a random word generator and talking about the generated word for 2-5 minutes. I've only been doing it for a few weeks, and I've already seen improvement in the way I can distill the stream of consciousness into a cohesive message. Vinh Giang (TH-cam famous communication skills teacher) suggests the practice as a way to improve the mind-mouth connection.
Very helpful!
Immensely valuable. 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!
Very nice one, enjoyed it.
Considering the reactions in the comments sections, I’m worried about the state of professionalization in so-called hard science departments. Graduate students in my discipline are constantly taught how to interview. I thought this was common knowledge and practice across graduate programs in the US. It seems like you are doing a great service by teaching these things.
Very helpful
Thanks!
wow, academic job market is brutal
american academics seem more focused on their job market and generating capital than on academics
UofM is amazing.
State school 😅
Basically you need to be so smart to have time and ability to do the extra things. That’s the bottom line. Lol.