[CODATA - Data Science Training] Post-doctoral Fellowships in Statistics

Felix Emeka Anyiam felixemekaanyiam at gmail.com
Mon Feb 25 08:58:06 EST 2019


Job description

The Project FAPESP 2018/04654-9: Time Series, Wavelets and High Dimensional
Data is selecting researchers interested in doing investigation in the
areas below, connected to the main topics of the project.

The Fellowships are supported by FAPESP (São Paulo Research Foundation,
Brazil).

AREA: Statistics

TOPICS:

• Covariance Function Estimation by Spatial Deformations

• DCS Perturbations for ARFIMA Models

• Epidemiological Vigilance – New Models and Change Detection

• Financial Time Series

• Functional Data Conglomerates

• Generalized Transformed ARMA Models

• Indirect Estimation of Time Series Models

• Minimum Variance High-Dimensioal Portfolios

• Neuroimaging

• Point Process in Functional Data

• Phylogenetic Trees and Precision Medicine

• Quasi *U*-Statistics

• Sazonality in High-Frequency Data

• Spatial Confounding for Generalized Linear Models

• Spatio-Temporal Deformations

• Statistical Analysis of SAR Data

• Structural Decomposition for Space-Time Models

• Volatility Estimation and Prediction for High-Dimensional Financial Data

• Wavelet Analysis in Statistics

• Wavelets in Functional and High Dimensional Data Analysis.

POSITIONS STARTING IN 2019: 3

DURATION: 24 months

E-MAIL FOR SUBMISSION: *stodad at ime.unicamp.br* <stodad at ime.unicamp.br>

Site for information: *http://www.ime.unicamp.br/~STODAD*
<https://www.researchgate.net/deref/http%3A%2F%2Fwww.ime.unicamp.br%2F~STODAD>

DETAILS: Full details can be found at*http://www.fapesp.br/dc/in14*
<https://www.researchgate.net/deref/http%3A%2F%2Fwww.fapesp.br%2Fdc%2Fin14> and
links therein.

MONTHLY PAYMENTS: R$ 7,373.10 (tax-free)

TRAVEL AND EXPENSES: R$26,543.16

OTHER BENEFITS: Tickets (round-trip) and R$ 7,373.10 (see rules at
*http://www.fapesp.br/dc/in14*
<https://www.researchgate.net/deref/http%3A%2F%2Fwww.fapesp.br%2Fdc%2Fin14>)

We seek doctors in Statistics (or related areas) with strong research
potential that can 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
(University of São Paulo's Institute of Mathematics and Statistics
[ME-USP], Institute of Education and Research [INSPER]) or Campinas
(University of Campinas's Institute of Mathematics, Statistics and
Scientific Computation [IMECC-UNICAMP]) under the supervision of one the
project’s principal investigators.

Interested candidates should apply to *stodad at ime.unicamp.br*
<stodad at ime.unicamp.br>. The application email should contain the following:

(i) A letter (pdf file) explaining the candidate’s background, in which
topic(s) they’d like to work and the reasons why they feel they are
suitable for the proposed task.

(ii) Candidate’s CV (pdf file).

(iii) PhD dissertation summary (pdf file) and a two-page summary of
published works (pdf file).

(iv) E-mail and postal (official university or professional) addresses for
two former research supervisors or course professors which are willing to
write recommendation letters.

More information about the fellowship is at: *fapesp.br/oportunidades/2633
<https://www.researchgate.net/deref/http%3A%2F%2Fwww.fapesp.br%2Foportunidades%2F2633>*
.

-- 

Felix Emeka Anyiam

*Research Officer & Data Analyst/Scientist*

Centre for Health and Development

University of Port Harcourt (UNIPORT)

Top Floor, Medical Library Building

University of Port Harcourt Teaching Hospital (UPTH), Port Harcourt

River State, Nigeria.

 ORCID ID: http://orcid.org/0000-0003-2774-7406

 Skype ID: @felix.emeka.anyiam

tel: +234 (0) 806 499 5462


email: chd at uniport.edu.ng

http://www.uniport.edu.ng/centres/170-centre-for-health-and-development-chd.html

*The CODATA-RDA School of Research Data Science, ICTP, Trieste Italy
Alumni  <https://vimeo.com/232209813>*

 I don't mind not knowing.  It doesn't scare me.  - Richard Feynman

To consult the statistician after an experiment is finished is often merely
to ask him to conduct a post mortem examination. He can perhaps say
what the experiment died of. -Ronald A. Fisher.

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