Advice and Resources

This page exists to record a collection of advice and resources that I often find useful to share with my students, other people I've mentored, and newcomers to research or academia.


Opportunities for young mathematicians from disadvantaged backgrounds include:

  • Graduate Assistantships in Developing Countries, a programme by the IMU's Commission for Developing Countries, which supports graduate students from research groups in "Priority 1 or 2" developing countries that have collaborations with international researchers in other countries.

  • The IMU Breakout Graduate Fellowship Program, which supports PhD students who are citizens of, and studying in, developing countries, nominated by some professor as a mentor figure.

  • The ICTP Postgraduate Diploma Programme, a one-year course (with full funding, 10 scholarships awarded per year) which is designed as a stepping stone between a mediocre bachelor's or master's programme and an excellent PhD programme.

  • The Heidelberg Laureate Forum (see below).


Writing mathematics is a very different skill from ordinary English writing. One may be a fluent or even native speaker of English and still not know how to write mathematical prose well in English. The best way to learn this is by practice, reading well-written mathematical books and papers, but there are some useful resources as well:


An academic CV is very different from a non-academic CV. The best resource I know for how to prepare an academic CV is on Karen Kelsky's blog The Professor Is In: check out Dr Karen's Rules of the Academic CV.


Any young mathematician (or computer scientist) who is strongly motivated to become a researcher should consider applying to the Heidelberg Laureate Forum. Every year in September, 200 young mathematicians and computer scientists (doing their bachelor's, master's, PhDs, or up to 5 years after their PhDs) come to Heidelberg to spend a week meeting with Fields Medallists, Abel Prizewinners, Turing Awardwinners, and basically all the superstars of maths and computer science. It's by invitation only (you can apply, but no guarantee you'll be chosen), with all expenses paid (accommodation, food, and also travel if you can prove that you can't get travel funding elsewhere).


Many students are scared of real analysis as a course. It may become easier after reading Timothy Gowers's "Why easy analysis problems are easy" - ignore the very basic typesetting (A and E instead of ∀ and ∃); this is a really useful way to understand theorems and proofs in real analysis.


Some online repositories of recorded videos of research presentations, relevant to my fields of interest:


Ravil Vakil's webpage "For potential Ph.D. students" is a treasure trove of useful advice and resources - some of it specific to him or to algebraic geometry, but much of it applicable to any budding young mathematician.