If you are applying through TIFR GS exam for Mathematics or Physics, see here
https://www.tifr.res.in/~academics/gs_admissions.php
for information on how to take this test. In your application, tick the box to be considered for the ACM PhD Program.
All applicants, irrespective of the entrance examination, must fill an application form; the application portal will open in January 2024.
Eligible candidates can apply to the ICTS graduate program by completing the ONLINE APPLICATION FORM. 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 31 March 2024 and the referee deadline is 15 April 2024.
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. |
| 3 | Vishal Vasan | Dynamical systems, Inverse problems and control theory |
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.
Vishal Vasan
- Course work in numerical methods/scientific computing, linear algebra
- Familiarity with application domains such as fluid dynamics, condensed/soft matter physics, ocean/atmospheric science through project/thesis work
- Knowledge of programming in C/C++/Python/Julia