Statistics & Probability

We seek strong candidates in any field of statistics and probability as well as in any interdisciplinary areas where innovative and principled use of statistics and/or probability is of vital importance. Candidates must have a Ph.D. in Statistics or Probability theory from a reputed institution, and a good research record and background. The following sub-areas are currently of special interest:

• Causal Inference, High-dimensional Statistics, Statistics of Networks, Bayesian Inference, Bayesian Computation, Missing Data Analysis, Imputation Methodology, Applied Stochastic Processes, Statistical Modelling of Spatio-temporal Data, Analysis of complex observational data

Minimum Eligibility Criteria (all disciplines except design area candidates)

(i) Ph. D. with a first class or equivalent in the preceding degree and an excellent academic record throughout; and

(ii) A strong research record with publications in reputed journals and conferences.

Assistant Professor

Ph.D. with strong research capabilities and a strong passion for teaching at undergraduate and postgraduate levels. Postdoctoral experience is preferred.

Associate Professor

A minimum of six years post-Ph.D. teaching/research/professional experience of which at least three years should be at the level of Assistant Professor at higher educational institutions. A strong research record as evidenced by publications, external research grants /projects, and experience in doctoral supervision is expected.

We also welcome applications from candidates with a strong research background and relevant industry experience.