In the first year of my Ph.D. this year, I am at a Canadian University. Previously, the background has always been in the direction of Mathematics , and both masters and undergraduates are mathematics.
I now want to quit the following considerations when reapplying for a new PhD program:
Currently, what I am doing in the Statistics Department with my current supervisor is stochastic analysis, which I have never been exposed to before. So I have been learning basic knowledge for the past year, and I feel that I have learned well. I have also studied in the Graduate course. Research progress has been made in recent months, but currently has nothing to do with statistics.
I don’t have much interest in the current research. My previous master’s work was on discrete probability, and I co-authored a thesis with my master’s supervisor at the time.
The funding in the department is too small. After deducting tuition fees, there is still rent, which is not enough for daily living expenses. Moreover, our department does 6 TAs a year.
Before the first year of our department, there was a qualify exam. A professor of the exam method assigned you an essay, let yourself find a statistical problem that can be simulated, and write a report and defense within three weeks. The final result also failed because that the problem I was looking for was not enough statistical. The articles assigned by other students are all classic statistical articles, which include simulation. Some simple regression models. I feel that this exam is very unfriendly to students with a mathematical background or who want to do theory.
My current thinking is to quit this program now, and plan to re-apply for a Ph.D. program in a Canadian/US university in mathematics or machine learning. Currently looking for 2023 fall admission, if it is 2023 spring admission is better.
Can you give me some suggestions?
Withdrawing from the first-year program, what explanation is required to not hurt my reapplication?