The Applied and Computational Mathematics PhD program has research priorities on the following themes: mathematical modeling of climate-ocean-atmosphere processes, compressible flows, numerical methods for partial differential equations, and the application of machine learning and AI in these disciplines. Students with a strong background in computational research, based on semester or year long thesis work or projects completed under a mentor are especially encouraged to apply for this program.
ELIGIBILITY
M.A./M.Sc./M.Math./M.Stat./M.E./M.Tech. and other related Masters degree programs
Eligible candidates can apply to the ICTS graduate program by completing the
You will need to upload the scorecard from the admissions test (JEST/ GATE/ UGC-CSIR/ this is not required for the TIFR test) electronic copies of your transcripts, CV, a statement of purpose, and contact details of two referees.
The deadline for application is 21 March 2025, referee recomendation deadline is 25 March 2025.
The admission is focused on certain research areas that have been listed below. Based on their interest among the listed subject areas, every applicant must select one of the faculty members as their research mentor at the time of filling the application form.
| Faculty member | Research areas | |
| 1 | Praveen Chandrashekar | Numerical methods for PDE, Finite volume and finite element methods, Computational Fluid Dynamics |
| 2 | Jim Thomas | Geophysical fluid dynamics, Waves and turbulence, Computational fluid dynamics, Machine learning based model development. |
Desirable qualifications
Students wishing to select one of the above advisors will benefit from having certain desirable qualifications towards fulfilling the research work.
Praveen Chandrashekar
- Course work during bachelor/master in fluid mechanics, gas dynamics, thermodynamics, numerical methods for ODE and PDE
- Good knowledge of at least one programming language among Fortran/C/C++/Python
- Experience in parallel programming concepts like MPI
Jim Thomas
- Course work during bachelor/master in fluids or geophysical fluid dynamics, atmosphere-ocean sciences, numerical methods/scientific computing
- Working knowledge in at least one programming language among Fortran/C/C++/Python/Julia and some exposure to high performance computing on clusters
- Experience working on a semester-long or year-long research project as part of thesis work or otherwise.