Starting PhD student pro tips:

- Keep a backlog of “small ideas” that you don’t find the time to work on. Soon enough you will be asked to supervise undergrad students in some capacity, and these ideas will be exactly what they need to get started.

- In the first two years worry about learning and getting settled in your research field. In year 3+ you can worry about churning out papers (but that’s much easier of you have a good understanding of the field and its methods).
- Believe your advisor on strategy matters, believe in yourself when it comes to details and results (we have good intuition about what’s interesting and important, but only you know what you have actually done and what it means).
- Talk to other students as often as you can. No, they likely won’t know how to solve the specific issue you are currently having, but over time you will learn more from your colleagues than from your advisor.
- Relatedly, other people (your advisor, other profs, other students, reviewers) are neither idiots nor almighty gods of knowledge. They will have insights, but some of the things they tell you will turn out to be garbage.
- Always remember that they laughed at Columbus, they laughed at Fulton, they laughed at the Wright Brothers. But they also laughed at Bozo the Clown.

(read: if people consistently don’t buy your idea, consider that they may be correct)
- When assessing if your paper is good enough for a specific venue, don’t take the worst paper you can find as baseline. Peer review isn’t nearly that fair, and standards increase over the years

(but probably submit anyway - better to aim high and fail than to aim low)
- The earlier you learn to see rejection as a temporary setback the better. Your stuff will get rejected, and often for unfair reasons. But very rarely does actual research not get accepted anywhere.

(P.S.: still working on this one myself - I may get there in retirement)
- The one skill that every PhD student in applied CS needs to master is writing in English. Weaknesses in basically anything else can be mitigated by selecting a research topic that plays to your strengths, but if you can’t write it up well then nothing else really matters.
- The best way to improve your writing (besides writing a lot) is reading many, many good papers. Observe not only what results they report, but also how they construct their story and how they structure and build paragraphs, and what plots they use. Copy liberally what you like.

More from Education

Our preprint on the impact of reopening schools on reproduction number in England is now available online: https://t.co/CpfUGzAJ2S. With @Jarvis_Stats @amyg225 @kerrylmwong @KevinvZandvoort @sbfnk + John Edmunds. NOT YET PEER REVIEWED. 1/


We used contact survey data collected by CoMix (
https://t.co/ezbCIOgRa1) to quantify differences in contact patterns during November (Schools open) and January (Schools closed) 'Lockdown periods'. NOT YET PEER REVIEWED 2/

We combined this analysis with estimates of susceptibility and infectiousness of children relative to adults from literature. We also inferred relative susceptibility by fitting R estimates from CoMix to EpiForecasts estimates(https://t.co/6lUM2wK0bn). NOT YET PEER REVIEWED 3/


We estimated that reopening all schools would increase R by between 20% to 90% whereas reopening primary or secondary schools alone would increase R by 10% to 40%, depending on the infectiousness/susceptibility profile we used. NOT YET PEER REVIEWED 4/


Assuming a current R of 0.8 (in line with Govt. estimates: https://t.co/ZZhCe79zC4). Reopening all schools would increase R to between 1.0 and 1.5 and reopening either primary or secondary schools would increase R to between 0.9 and 1.2. NOT YET PEER REVIEWED 5/
This seems like a positive base from which to #BuildBackBetter


https://t.co/OwpgNh8mEu


https://t.co/7eOi1Bv3bM


https://t.co/GhxVgLuWJE


https://t.co/ymHp910wrC

You May Also Like