How does the PhD topic selection process work in your school?

I'm currently preparing for the upcoming admission cycle and I was surprised by the lack of uniformity in how the topic/advisor selection process works in US universities.

It seems that, broadly speaking, there are two types of processes: either the advisor selects you for a position in their lab or you have to rotate between different labs before choosing an advisor at the end of the year. The former is straightforward, but the way I interpret the latter suggests that there might be a good chance you won't get to work on the topic you really want. This is especially the case for universities like Stanford where there's little scope of communicating with the potential PIs to confirm if the topic you really want would even be offered to the PhD candidates. Worst yet, it's not uncommon for faculty members to not respond to inquiry emails no matter which university they work in.

Am I wrong in my interpretation? Because I'm struggling to understand why people would even want to go to universities like Stanford if there's a decent chance they won't find out if they'll get the topic they want to work on well after getting admission, and maybe even after they've rotated between labs.

This made me curious about how the topic selection works in other universities. Who writes the proposals in your school? PhD candidate or advisor? Do the candidates have to choose between a fixed number of topics offered to them as options or do they have a more free hand?

P.S: I'm using the term topic bit loosely here. Think of it as a niche research interest of sorts.

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u/AlekhinesDefence — 15 hours ago
▲ 1 r/statistics+1 crossposts

Recommended books for learning PERMANOVA and statistical concepts about time series [Q]

Hi all,
I’m currently looking to learn about PERMANOVA and other advanced statistical concepts for my research manuscript which is based on statistically designed experiments and measures interaction effects in addition to main effects.

Additionally, I’m also interested in learning about statistical concepts relevant to time series as currently I cannot wrap my head around how the statistical concepts I have learned till now could be used to analyze time series involving interaction effects and statistically designed experiments.

If anyone has any good recommendations for books I can read to learn about these concepts then please do share their names. I would also appreciate any help or suggestions about time series statistics concepts I should aim for since this topic is new to me.

Thanks

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u/AlekhinesDefence — 22 days ago

Are there any good journals which accept individuals with masters degree as peer reviewers?

Hi all,
I have been contemplating on restarting peer reviewing manuscripts for journals after almost a decade. However, it seems to me like the journals these days only accept those with PhD and/or published papers as potential reviewers. Is my assessment of the situation correct or are there any good journals which accept individuals with masters degree and no publications as potential peer reviewers (I do have an excellent master’s thesis).

On a side note, this development, if true, is very surprising to me because I remember being inundated with calls invitations to review papers when I only had an undergraduate degree.

P.S: I’m in the bioprocess/microbiology/biochemistry field.

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u/AlekhinesDefence — 2 months ago

Hello all,

I have developed quite an interest in strain engineering and have been contemplating going for a PhD. However, it’s not clear to me if genetic engineering programs are what I’m looking for. If anyone has an idea about which grad schools are considered the best for strain engineering then I would be really grateful for their input.

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u/AlekhinesDefence — 2 months ago