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I almost got a Tenure Track position at a Data Science Faculty in Virginia and I think them not having a HPC was the single issue that blew this move (from both
by Helmut10001 4y ago
I almost got a Tenure Track position at a Data Science Faculty in Virginia and I think them not having a HPC was the single issue that blew this move (from both sides). During interviews, I was asking the dean how they set up their HPC - turned out, they hadn't. I then asked a Professor in the next review round how they teach their students without a HPC:
> "I buy all resources on AWS - it's painfull because I have to contact AWS almost monthly for accidental over-billing, but we don't have a solution".
All of this made me really sceptical, since coming from a big University in Germany, we have unlimited HPC resources for free. I have 16 VMs, the biggest one 125 GB Memory, I can set those up or move around how I want. No space limitations - in need 10 TB of space for 3 month? Open a service ticket, 3 hours later it's available. Ports need to be opened worldwide to the web? No problem. Need a Jupyter Hub Cluster on Kubernetes? Here you go. This has really improved my work (quality, performance, and convenience) so much.
I was once coordinator of a research project where we had 30k EUR left and didn't know what to do with it. I contacted our HPC and asked if they want the money - answer: "30k really isn't worth the effort, we don't know what to do with it atm."
- m_mueller 4y agoI second this, would also ring my alarm bells in an interview. Back as a master student I went from a top 10 research university that didn't have a strong HPC infra at the time (ETH Zurich) to a top 100 one that did (Tokyo Tech), at least as a guest. Difference was staggering - all students just got handed a login on their big (top 100) cluster to be able to work with the actual hardware, even if limited to a couple of nodes. This much increased the likelihood that someone would be able to come up with an interesting project just together with their academic supervisor (no huge group projects with tons of extra funding needed).