It took me a while to become confident and actually acknowledge this as something to be excited about and not anxious about.
#PhD INTERVIEW EXPERIENCE + TIPS/TRICKS (mine were for #biomed)
A thread.👇
Before I begin, all of you are awesome and never let anyone tell you otherwise😃
Share and RT 😁❤
@AcademicChatter @OpenAcademics @PhDspeaks @firstphdchat
It took me a while to become confident and actually acknowledge this as something to be excited about and not anxious about.
They would want to impress you with their the same way you want to impress them.
Now let's move on to interview prep.
If you know your interviewers prior to your interview (I also had the opportunity to pick them), read up on them, their research, recent publications/projects.
One on one interviews with faculty will have more room for conversation than panel interviews.
Answering questions might be the most challenging part of an interview and preparation is key.
Be yourself and be confident in yourself (what I said to myself before my interview)
Remember: We are humans and our journeys will not be perfect, what matters is how we overcome our challenges.
This is a big one for most #PhD programs.
For research focused programs, this will be the major part of your interview.
Like I mentioned before prepping answers for these will help you be concise.
You should make sure you have thorough background understanding of your primary research experience/project.
TIP: Revisiting presentations helped me a lot.
At an interview, you might be asked to present different approach to your hypothesis or talk about potential limitations.
Or you might be presented a limitation and asked how you would proceed.
These questions will vary depending on your field but they will be most likely asked.
TIP: If you are unsure of something or you don't know, it's OK to let them know
Faculty interviewers who are looking to recruit you will be investing in you (and pay you) through your PhD. In this sense, they are potential employers.
Aside from research, they will also want to understand you as a professional.
While answering these, use examples from your previous experiences. This will demonstrate your capabilities as a professional to your interviewers.
You should definitely prepare specific questions for your interviewers to ask about their lab/program (current projects, opportunities, funding, etc.)
This will help you understand the environment you would do your #PhD in and show your interest
And remember to ask about the faculty's mentoring style and lab environment.
Particularly, these are things that will help you make a decision down the line.
Make sure you take a lot of notes during your interviews. It will help you make a decision later on.
Make a summary of the points you noted and make specific comments that you can check back on for each program.
I use the pros/cons system (Thanks @DTPtoPhD!)
More from Education
When the university starts sending out teaching evaluation reminders, I tell all my classes about bias in teaching evals, with links to the evidence. Here's a version of the email I send, in case anyone else wants to poach from it.
1/16
When I say "anyone": needless to say, the people who are benefitting from the bias (like me) are the ones who should helping to correct it. Men in math, this is your job! Of course, it should also be dealt with at the institutional level, not just ad hoc.
OK, on to my email:
2/16
"You may have received automated reminders about course evals this fall. I encourage you to fill the evals out. I'd be particularly grateful for written feedback about what worked for you in the class, what was difficult, & how you ultimately spent your time for this class.
3/16
However, I don't feel comfortable just sending you an email saying: "please take the time to evaluate me". I do think student evaluations of teachers can be valuable: I have made changes to my teaching style as a direct result of comments from student teaching evaluations.
4/16
But teaching evaluations have a weakness: they are not an unbiased estimator of teaching quality. There is strong evidence that teaching evals tend to favour men over women, and that teaching evals tend to favour white instructors over non-white instructors.
5/16
1/16
When a teaching award is based solely on teaching evals and then only men get it. pic.twitter.com/szIBkCvTe9
— Dr. Marissa Kawehi (@MarissaKawehi) February 12, 2021
When I say "anyone": needless to say, the people who are benefitting from the bias (like me) are the ones who should helping to correct it. Men in math, this is your job! Of course, it should also be dealt with at the institutional level, not just ad hoc.
OK, on to my email:
2/16
"You may have received automated reminders about course evals this fall. I encourage you to fill the evals out. I'd be particularly grateful for written feedback about what worked for you in the class, what was difficult, & how you ultimately spent your time for this class.
3/16
However, I don't feel comfortable just sending you an email saying: "please take the time to evaluate me". I do think student evaluations of teachers can be valuable: I have made changes to my teaching style as a direct result of comments from student teaching evaluations.
4/16
But teaching evaluations have a weakness: they are not an unbiased estimator of teaching quality. There is strong evidence that teaching evals tend to favour men over women, and that teaching evals tend to favour white instructors over non-white instructors.
5/16
Time for some thoughts on schools given the revised SickKids document and the fact that ON decided to leave most schools closed. ON is not the only jurisdiction to do so, but important to note that many jurisdictions would not have done so -even with higher incidence rates.
As outlined in the tweet by @NishaOttawa yesterday, the situation is complex, and not a simple right or wrong https://t.co/DO0v3j9wzr. And no one needs to list all the potential risks and downsides of prolonged school closures.
On the other hand: while school closures do not directly protect our most vulnerable in long-term care at all, one cannot deny that any factor potentially increasing community transmission may have an indirect effect on the risk to these institutions, and on healthcare.
The question is: to what extend do schools contribute to transmission, and how to balance this against the risk of prolonged school closures. The leaked data from yesterday shows a mixed picture -schools are neither unicorns (ie COVID free) nor infernos.
Assuming this data is largely correct -while waiting for an official publication of the data, it shows first and foremost the known high case numbers at Thorncliff, while other schools had been doing very well -are safe- reiterating the impact of socioeconomics on the COVID risk.
A group of Ontario experts led by SickKids has updated its guidance for school operation during the COVID-19 pandemic. The living document, COVID-19: Updated Guidance for School Operation During the Pandemic, can be read here: https://t.co/rotLqDqkQh pic.twitter.com/q7kVezAPoG
— SickKids_TheHospital (@SickKidsNews) January 21, 2021
As outlined in the tweet by @NishaOttawa yesterday, the situation is complex, and not a simple right or wrong https://t.co/DO0v3j9wzr. And no one needs to list all the potential risks and downsides of prolonged school closures.
1/It's the eve of provincial announcements on schools reopening for in-person instruction.
— Nisha Thampi (@NishaOttawa) January 20, 2021
Households are under stress and experts are divided on whether schools are unicorns or infernos.
Everyone wants to do right by kids, who have borne so much throughout this pandemic.
On the other hand: while school closures do not directly protect our most vulnerable in long-term care at all, one cannot deny that any factor potentially increasing community transmission may have an indirect effect on the risk to these institutions, and on healthcare.
The question is: to what extend do schools contribute to transmission, and how to balance this against the risk of prolonged school closures. The leaked data from yesterday shows a mixed picture -schools are neither unicorns (ie COVID free) nor infernos.
Assuming this data is largely correct -while waiting for an official publication of the data, it shows first and foremost the known high case numbers at Thorncliff, while other schools had been doing very well -are safe- reiterating the impact of socioeconomics on the COVID risk.
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1/ Some initial thoughts on personal moats:
Like company moats, your personal moat should be a competitive advantage that is not only durable—it should also compound over time.
Characteristics of a personal moat below:
2/ Like a company moat, you want to build career capital while you sleep.
As Andrew Chen noted:
3/ You don’t want to build a competitive advantage that is fleeting or that will get commoditized
Things that might get commoditized over time (some longer than
4/ Before the arrival of recorded music, what used to be scarce was the actual music itself — required an in-person artist.
After recorded music, the music itself became abundant and what became scarce was curation, distribution, and self space.
5/ Similarly, in careers, what used to be (more) scarce were things like ideas, money, and exclusive relationships.
In the internet economy, what has become scarce are things like specific knowledge, rare & valuable skills, and great reputations.
Like company moats, your personal moat should be a competitive advantage that is not only durable—it should also compound over time.
Characteristics of a personal moat below:
I'm increasingly interested in the idea of "personal moats" in the context of careers.
— Erik Torenberg (@eriktorenberg) November 22, 2018
Moats should be:
- Hard to learn and hard to do (but perhaps easier for you)
- Skills that are rare and valuable
- Legible
- Compounding over time
- Unique to your own talents & interests https://t.co/bB3k1YcH5b
2/ Like a company moat, you want to build career capital while you sleep.
As Andrew Chen noted:
People talk about \u201cpassive income\u201d a lot but not about \u201cpassive social capital\u201d or \u201cpassive networking\u201d or \u201cpassive knowledge gaining\u201d but that\u2019s what you can architect if you have a thing and it grows over time without intensive constant effort to sustain it
— Andrew Chen (@andrewchen) November 22, 2018
3/ You don’t want to build a competitive advantage that is fleeting or that will get commoditized
Things that might get commoditized over time (some longer than
Things that look like moats but likely aren\u2019t or may fade:
— Erik Torenberg (@eriktorenberg) November 22, 2018
- Proprietary networks
- Being something other than one of the best at any tournament style-game
- Many "awards"
- Twitter followers or general reach without "respect"
- Anything that depends on information asymmetry https://t.co/abjxesVIh9
4/ Before the arrival of recorded music, what used to be scarce was the actual music itself — required an in-person artist.
After recorded music, the music itself became abundant and what became scarce was curation, distribution, and self space.
5/ Similarly, in careers, what used to be (more) scarce were things like ideas, money, and exclusive relationships.
In the internet economy, what has become scarce are things like specific knowledge, rare & valuable skills, and great reputations.
