My view on starting in academia

This page collects a few links and ideas:

In your research field, but also in a slightly more diverse area.
A good place to find new papers, for instance in stat, is on arxiv: https://arxiv.org/list/stat/recent There are new ones every week day!
Another very good place to find great papers is on journal webpages; the advantage over arxiv is that they are filtered through the publication process.
- Try this top best in stats (some are very theoretical though, it is a question of taste)
  - AoS: https://projecteuclid.org/euclid.aos
  - JRSS-B: https://rss.onlinelibrary.wiley.com/toc/14679868/2018/80/4
  - Biometrika: https://academic.oup.com/biomet
  - JASA: https://www.tandfonline.com/toc/uasa20/113/523?nav=tocList
- In ML, try the same with the best ML conferences:
  - NeurIPS
  - ICML
  - ICLR
  - etc
Yet another place to find new papers is on Twitter: follow leader in your field; they will let you know when they have fresh papers out, or any other related info.

Meet with people: attend reading groups, seminars, conferences. Talk with people.
Create a personal website. Simple templates include github or Google Site; see also this tutorial for a Python/Pelican webpage: https://speakerdeck.com/himito/creating-static-sites-with-pelican
Create account on academic social media such as Twitter, ResearchGate, GoogleScholar, LinkedIn, etc...
Write a blog, through github of WordPress. I've started this one when I was a PhD student with fellow PhD students: https://statisfaction.wordpress.com/