Time Series, Wavelets, High Dimensional Data and Applications - POST-DOCTORAL FELLOWSHIPS AVAILABLE

The Project FAPESP 2023/02538-0, Time Series, Wavelets, High Dimensional Data and Applications, is selecting researchers for investigation in the topics below.

AREA: Statistics

TOPICS:

• Bayesian modeling of multi-variate integer-valued autoregressive processes 
• Robust volatility estimation for high-dimensional data
• Selective inference for high-dimensional data
• Shape-preserving copula estimation
• Variational inference for clustering and variable selection in functional regression

POSITIONS STARTING IN 2024: 5

DURATION: 24 months (renewable)

E-MAIL FOR SUBMISSION: stodad@ime.unicamp.br

MORE INFORMATION : https://bv.fapesp.br/en/auxilios/112733/time-series-wavelets-high-dimensional-data-and-applications/ and links therein.

YEARLY STIPENDS: R$144,000.00 (approximately US$26,000) - tax-free

SUBMISSION DEADLINE: October 31, 2024

OTHER BENEFITS: Travel and Expenses Grant plus round-trip tickets and moving expenses (see rules at https://fapesp.br/en/postdoc)

We seek doctors in Statistics (or related areas) with strong research potential to develop supervised work on the aforementioned topics. It is desirable that the candidates have proven experience in data analysis and computer skills. The selected researchers will work in São Paulo or Campinas under the supervision of one of the Principal Investigators.

Interested candidates should apply to stodad@ime.unicamp.br. The application email should contain the following:

1.  A letter (two-page pdf file) briefly describing the candidate’s background, and the reasons why they feel they are suitable for the proposed task.
2.  Candidate’s CV (pdf file).
3. PhD dissertation summary (pdf file).
4. Two-page summary of published works (pdf file). 
5.   E-mail and postal (official university or professional) addresses for two former research supervisors or course professors which are willing to write recommendation letters.