Title: Posteriori properties for Bayesian regression models and applications in large and complex industrial and medical data The Research, Innovation and Dissemination Center for Mathematical Sciences Applied to Industry (CeMEAI), hosted by the University of São Paulo, Brazil, and funded by FAPESP (São Paulo Research Foundation, Brazil), is offering a 1-year post-doctoral fellowship for candidates with outstanding research potential.
This position is focused on the study of posteriori properties in Bayesian regression models and applications in large and complex datasets.
Minimum Requirements: 1.
Doctorate in Mathematics, Statistics, or related discipline completed within the last 5 years.
2.
Demonstrated research ability in Mathematics, Statistics, or related discipline.
3.
Strong background in real analysis, integration in R^n, measure, Bayesian methodology, and computation.
4.
Experience with analysis of datasets.
5.
Commitment to collaborative research.
6.
Excellent verbal and written communication skills.
Desirable qualifications include previous experience working in a multidisciplinary research group and collaboration on research projects with companies or governmental institutions.
Application Process: To apply, please E-mail (only PDF files) the following items to Professor Francisco Louzada at ****** until 15 November 2019: 1.
A letter of interest, containing full contact information, year graduated, and citizenship/immigration status, concisely responding to the research emphases and criteria above; 2.
A CV listing educational background, research experience, and publications; 3.
A cover letter including names and contact information for three references (no letters please).
Please indicate "CEPID Postdoc" in the subject field of the message.
#J-18808-Ljbffr