|
|
|
|
|
by munin
1923 days ago
|
|
It’s not as common but the incentive structures in academia are uniquely enabling to abusers. In industry it’s much easier to leave tyrant bosses. I agree with your points. Many of the positive incentives don’t exist in industry though, an “up and out” culture is rarer in industry. When it works in academia your supervisor is positively invested in your growth, in general in industry your supervisor doesn’t care about your growth. If they need someone with new skills and you learn them fine but they can also fire you and hire someone with those skills (even though this is probably a net negative for them due to retraining on job specific stuff, it’s still seen as a net positive by management) There is less abuse though. Full stop. Sorry you’re in this situation. |
|
… and when that’s less true, you see the same dynamic. Most of the bad stories I’ve heard involve H1-B holders who couldn’t leave, locations where there wasn’t much other tech employment, or specialized skills which were only in demand by a handful of local employers (e.g. being a veteran COBOL employer in SV will not give you an edge for most of the open jobs). Academia is just unique in having enshrined that dynamic for almost everyone: the job market is brutal and an abusive or careless advisor’s support for finishing and finding jobs has a huge impact.
I’m not an academic but have spent a fair amount of time being the only person in the room who isn’t a grad student or have a PhD and there’s been a lot of commentary that science would be healthier for having more staff scientist positions in larger groups, both to reduce the degree that many careers depend on one person’s decisions and simply to recognize that there’s a huge mismatch between the number of people needed on many projects and tenure track positions available. Everyone I know who left for industry is happier but that’s skewed by most of them having had the skills to go into data science & ML and thus significant income multipliers.