The Millennium Nucleus – Center for the Discovery of Structures in Complex Data (MiDaS; midas.mat.uc.cl) at Pontificia Universidad Católica de Chile invites applications for up to two postdoctoral fellows to conduct research at the intersection of Bayesian methods, survival analysis, mismeasured data, and/or spatial statistics. The position will be supervised (jointly) by Dr. Moreno Bevilacqua, Dr. Alejandro Jara, Dr. Emilio Porcu, Dr. Fernando Quintana, or Dr. Carlos Sing-Long, with opportunities to conduct research at the Department of Statistics, Pontificia Universidad Católica de Chile. Opportunities to collaborate with other members of MiDaS will be part of both positions.
Expertise in Bayesian nonparametric statistics, survival analysis or spatial statistics (not necessarily the three of them) is strongly encouraged, with expectations to contribute to ongoing methodological development in (i) the development, study of properties, and the implementation of scalable Bayesian nonparametric approaches for collection of probability measures indexed by predictors, and when both responses and predictors are defined on non-standard spaces, (ii) the development, study of properties, and the implementation of nonparametric approaches for misclassified doubly-interval-censored time-to-event data, and (iii) the development, study of properties, and the implementation of nonparametric approaches for space and time data. The successful candidate will be encouraged to augment contribution to ongoing research projects with his or her own independent research agenda.
PhD in statistics, biostatistics, or other related field.
Experience in Bayesian nonparametric statistics, survival analysis or spatial statistic strongly preferred.
To apply, please email a cover letter describing research interests and experience along with a CV and names of three references to: email@example.com.