PhD student in statistics for synthetic data generation (ref 228200)

We are looking for a statistician or mathematician with competence in methods for synthetic data generation and statistical modelling of complex multiple dependence. The project will focus on developing new methods for synthetic data generation using the vine pair copula constructions, for specific purposes, including classification, clustering, and prediction. The project will also study ways of measuring the quality of the synthetic data vs the preservation of privacy. The candidate is expected to publish methodological and/or applied papers in high impact peer-reviewed scientific journals, and to present results at scientific conferences, as part of her/his PhD thesis.

The Oslo candidate will be employed at OCBE  as a PhD student

OCBE has eight professors, five associate professors, fifteen researchers, many post-doctoral fellows and PhD students, making up a group of about 80 scientists. OCBE is internationally recognized, with interests spanning a broad range of areas (including time-to-event models, data integration, causal inference, statistical genomics, Bayesian inference, stochastic simulation algorithms, probabilistic graphical models, machine learning, evolution and population genetics, informative missingness and measurement error models, epidemiological studies of lifestyle and chronic diseases, stochastic models for infectious diseases, high dimensional data and models) and numerous collaborations with leading biomedical research groups internationally and in Norway.

For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/228200/phd-student-in-statistics-for-synthetic-data-generation