Doctor of Philosophy Programme (DMS)

PhD Advertisement for Autumn Semester 2019 (DMS)

Applications are invited from motivated candidates to pursue research in the broad fields of Algebraic Topology, Commutative Algebra, Computational Biology, Non-parametric Statistics & Functional Data Analysis, Representation Theory and Several Complex Variables.
The minimum eligibility criteria for each of the subject areas are as follows:

  1. Algebraic Topology, Commutative Algebra, Representation Theory and Several Complex Variables: A Master's degree in Mathematics with a minimum of 55% marks or CGPA/CPI of 6.5 on a 10-point scale.

  2. Computational Biology: A Master's degree, with minimum 55% marks or CGPA/CPI of 6.5 on a 10-point scale, in any field of Applied Mathematics, Applied Statistics, Bio-technology, Computer Science, Physics, Electrical Engineering, Mathematics and Statistics.

  3. Non-parametric Statistics & Functional Data Analysis: A Master's degree in Mathematics or Statistics with a minimum of 55% marks or CGPA/CPI of 6.5 on a 10-point scale.

Candidates having their own valid PhD fellowship (UGC/CSIR-NET JRF, NBHM, DBT-JRF, ICMR-JRF, INSPIRE or any other equivalent fellowship) are strongly encouraged to apply.

BS-MS passed students with CGPA score more than or equal to 8/10 from other IISERs are welcome to apply for our PhD program and are eligible for institute funding if selected through the interview process.

Please note that fulfilling the minimum essential criteria does not ensure that a candidate will be called for the interview. It is expected that one should fill up the form carefully as additional short-listing criteria may be set based on academic records, experience and research interest/statement of purpose of the candidates as provided in the application form.

The candidates will be allowed to appear at the interview only after proper verification of documents.

The profiles of the Faculty members of the Department of Mathematics and Statistics, in the aforementioned subject areas, can be found in the URL: Click Here