I maintain a telegram channel [link] where I post tweets made by professors on MS+PhD open positions. I usually follow ML & AI people so recruitment ads comes from this two area mostly.

Phd & Research Guidance

  1. Syllabus for Eric’s PhD students, Eric Gilbert [doc]
  2. An Opinionated Guide to ML Research, John Schulman [html]
  3. Ph.D. Applications: FAQ, Noah Smith [doc]
  4. A Survival Guide to a PhD, Andrej Karpathy [html]
  5. Machine Learning PhD Applications — Everything You Need to Know, Tim Dettmers [html]
  6. A Guide to Cold Emailing, Eugene Vinitsky [html]
  7. How I Keep My Projects Organized, Sebastian Raschka [html]
  8. Research Taste Exercises, Colah [html]
  9. Heuristics for Scientific Writing (a Machine Learning Perspective), Zachary Lipton [html]
  10. The Definitive ‘what do I ask/look for’ in a PhD Advisor Guide [pdf]
  11. Questions to Ask a Prospective Ph.D. Advisor on Visit Day, With Thorough and Forthright Explanations, CMU [html]
  12. PhD Syllabus, Mor Naaman [html]


  1. ফ্রেশার হিশেবে সফটওয়্যার ইঞ্জিনিয়ারিং চাকরি খোঁজাখুঁজির অভিজ্ঞতা, ক্যাম্পাস জুনিয়রদের জন্য বয়ান [html]
  2. সিনট্যাক্স টু কম্পিটিটিভ প্রোগ্রামিং জার্নি [html]
  3. Dodging pitfalls when transitioning from academia to industry, Archy [html]
  4. 7 reasons not to join a startup and 1 reason to, Chip Huyen [html]

Machine Learning + Undergrad Research

  1. Reproducing SOTA works as a pathway for research and prep for a bachelor thesis [html]
  2. Notes on machine learning, part 1 [pdf]

Reading Groups on ML&NLP

  1. Deep Learning: Classics and Trends
  2. Stanford NLP Seminar
  3. Mila Tea Talks

Blogs to Follow

  1. Lil’Log
  2. Sebastian Ruder
  3. Jay Alammar