Doctor of Philosophy Programme (DMS)

PhD Advertisement for Autumn Semester 2018 (DMS)

Applications are invited from motivated candidates to pursue research in the broad fields of Bayesian Statistics, Computational Biology, Partial Differential Equations and Reliability. The minimum eligibility criteriafor each of the subject areasare as follows:

  1. Bayesian Statistics: A Master's degree in Statistics 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. Partial Differential Equations: 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.

  4. Reliability: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.

One Institute-funded fellowship may be available in the area of Computational Biology for deserving candidates who have qualified in any national level entrance exam such as GATE, NET-LS etc.(apart from satisfying minimal eligibility criteria), but do not have fellowship.

Interdisciplinary areas of research
An inter-disciplinary area of research is also available to candidates with mathematics-related background, as given in the table below:

Interdisciplinary Research Area

Preferred background of the student from other areas

Broad area of Complex Systems Research.
Research Area: Origin of life models, Evolutionary Game Theory, Pattern Formation in Biological and Social Systems. Students will learn to use a variety of tools like non-linear dynamics, stochastic processes, networks etc. to analyze biological and social systems.
Students with a background in Physics or Applied Math with a strong interest in programming are encouraged to apply.


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.

Candidates applying for Partial Differential Equations are expected to have a strong background in Multi-variable Calculus, Measure Theory and Functional Analysis.

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

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