从 FAANG 回到学术界：LLM 效率方向博士如何准备 tenure-track 教职申请
Industry to academia [D]
一位在 FAANG 工作的博士询问如何从工业界转回学术界、争取美国 top 150 高校的 tenure-track 教职。他博士毕业于中档院校，研究方向为 LLM 模型效率及元学习、bandit 等 RL 工作，成果发表于 ICML、ICLR、NeurIPS 和 ACL、EMNLP、NAACL，但研究较分散，且缺乏基金申请与研究方向规划经验。
I have always had the desire to move to academia but I am not exactly sure how the process or profile building for academia works in general. Yeah, surely, I can ask AI and get answers but I don’t have much confidence in that . I did my PhD from a mid-tier school. My research focus was mostly on LLM model efficiency and some RL work (meta learning and bandit ) . The research direction I went with was totally out of my professor’s scope . As a result, I don’t have grant writing or funding related experience or don’t have those innovative idea of how do you create a research program or more specifically a niche sort of a program which I feel is required for Tenure track positions. During my PhD , I was able to hit top 3 ML( ICML,ICLR,Neurips )and top 3 NLP conferences ( ACL,EMNLP,NAACl) (in case having paper helps) . Being a grad student dictating his research, it went a bit scattered and not much concentrated on one research topic . For that I ended up joining a FAANG but still I want to get back to academia. I am looking for advice on how to build up my profile for academia and if it is possible to get into the top 150 US schools as tenure-track faculty and all . Thanks for your time !
submitted by /u/malakulmout347
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来源：r/MachineLearning · reddit.com