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Re:Ask HN: Is abuse from supervisors as common in industry a... by anjc on Saturday March 06, 2021 @11:16AM (#26368379)
> Almost always by year 4+ most PhD students are fatigued and starting to get very weary

Currently experiencing this weariness and my output isn't great. Covid restrictions + WFH are making it worse I feel but ultimately it's my responsibility to do well. Any tips for not looking like a hopeless case to your supervisor at this stage?

Re:Ask HN: Is abuse from supervisors as common in industry a... by jkhdigital on Saturday March 06, 2021 @11:57AM (#26368710)
The struggle is real... my most productive deep work has always happened while standing next to my advisor in his office, staring at his chalkboard and working through research problems together. Can’t do that over Zoom...
Re:Ask HN: Is abuse from supervisors as common in industry a... by anjc on Saturday March 06, 2021 @12:09PM (#26368801)
Same actually. I haven't had those type of conversations, and moments of inspiration/motivation in a year now, with everything.
Re:Ask HN: Is abuse from supervisors as common in industry a... by chriskanan on Saturday March 06, 2021 @04:29PM (#26370681)
Be structured and have clear goals.

After we went to remote work, my students have been making weekly presentations to me, which serves to update me on their work and helps them become better communicators of their research.

They recap what I suggested, they give a status update on what I asked them to do and whatever else they did, they compare the results of their experiments to past experiments (baselines), and they propose next steps and I make suggestions with regard to what I think makes sense.

In my field, machine learning, we often stitch multiple papers together, so each project is aimed at being a paper in the dissertation. For my lab, we come up with the idealized main contributions for a paper, and then work toward those goals. We may not meet them, but it provides structure and their informal presentations to me facilitate organized discussion and analysis of results.