This guy's time management is impressive. If you're diligently spending 1 day a week exploring new research methods, writing and reviewing your lab notebook, staying up-to-date on current SOTA research, writing SOTA algorithms for review, reviewing textbooks, engaging in "personal development" time (which apparently means general ML research) - when do you have time to actually do your main research?
You only need a few seconds to read the title, and you can cut away 150 out of those 200 with that. If it's a paper simply not in your area of research, you don't need to bother. You can then read the abstract (30 seconds) for the rest, and finally you'll pick 5-10 papers to read. You'd skim them with 5-10 mins per paper, and if you like what you see in 1-2 papers, you'll give it a more through read. So this is 10 mins + 30 mins + 2 hours + buffer, which is at best 3-4 hours.
Of course this requires a strong filter at the first stage. You can also set aside time to investigate specific topics outside your work, but you won't do that as often as you keep up with your own literature.
Question to author: Why new and coming researcher has to be young? Why not an old aged person can do research. I see entry level research position blatantly discriminate based on age? If you have gender diversity then why not age diversity?
