| It is basically the requirements for getting a job as a scientist in my field (machine learning) as far as graduating goes: 1) 1 journal paper as the first author, so that they learn how that process (often is a review or perspective paper on their field, which goes in their dissertation) 2) 2 first author papers in top-tier machine learning venues (goes in dissertation) 3) 1 first author paper in a top-tier or second tier venue (goes in dissertation) 4) 1 collaborative paper with another PhD student (have to learn how to collaborate) By the end, they have at a minimum around 4 first author papers and 1 additional paper. They can then turn these into their dissertation and these are signals to employers that they are competent scientists. If a student tells me they want to be a faculty member, we increase the numbers a bit (need at least 10 first-author papers to be competitive). I also require that they be organized when we have our one-on-ones in terms of their experimental output. That's pretty much it. It may sound like a lot, but I try to put training wheels on for the first couple projects and make them as tractable as possible because I fleshed out the project and found some low-hanging fruit, before I start trying to make them be more independent and drive the process. |
In my stints around Denmark and Japan (Computational Chemistry) you basically need ~1 top-tier or ~3 mediocre papers during your 3-year PhD.