Hello all!
I'm applying for applied maths PhD in theoretical machine learning and computational mathematics. I am looking for advice as to what schools I should apply.
Undergrad Institution: Indian Institute of Technology (IIT) Ropar, India Major: B.Tech Mechanical engineering
Minors: Mathematics GPA: 8.3/10 (3.4/4 approx)
Type of Student: Male
GRE General Test & Subject Test in Mathematics: n/a (due to COVID)
Programs Applying: Applied maths PhD
Research Experience:
- Paper in machine learning related area (designed a CNN to solve some agriculture related problem)
- Doing capstone project (1 year long compulsory project) in application of deep learning in mechanical problem
Letters of Recommendation:
I'm expecting three strong letters from professors with whom I have done research and taken courses under.
Coding Skills:
Python, Tensorflow, MATLAB (basic)
Relevant Courses + Grades:
Undergraduate level - Multivariable calculus (B), Linear Algebra (B-), Differential Eqjuations (A-), Probability and statistics(A-)
Graduate level - Topology(A-), Functional Analysis(B-), Complex analysis(B-), Discrete mathematics (taking this semester), Applied linear algebra and matrix analysis(taking this semester), Algebra(taking this semester)
Other Relevant Courses: Deep learning for physical systems(taking this semester)
Additional comments/concerns:
I think my biggest weakness is my math background and I am doubtful about my grades in mathematics being sufficiently good enough.
I know I am late in applying but I hope there are still some programs where I can apply. Currently, I am thinking of UChicago(top choice), Northeastern, NCSU.
Rest all deadlines have passed as far as I know.
I'd really appreciate any feedback on my schools (if there are others I should be looking at please let me know!).
Thanks so much for your help! Please help me urgently since I am already quite late.