[ABE-L] Fwd: NEW POSITIONS IN STATISTICS AT KAUST: 1 RESEARCH SCIENTIST, 3 POSTDOCS, 3 PHD STUDENTS

[Márcia Branco]

Divulgando, a pedido do professor Marc Genton (KAUST)


---------- Forwarded message ---------
From: Marc G. Genton <Marc.Genton em kaust.edu.sa>
Date: Tue, Sep 21, 2021 at 10:29 AM
Subject: NEW POSITIONS IN STATISTICS AT KAUST: 1 RESEARCH SCIENTIST, 3
POSTDOCS, 3 PHD STUDENTS
To: Márcia Branco <mbranco.ime.usp em gmail.com>


Dear Marcia,



I hope this finds you well and healthy! Please help me by circulating the
advertisement below for new positions in my group to potential candidates
and let me know in case you can recommend some specific candidates to me.



Thanks in advance and all the best,



Marc





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NEW POSITIONS IN STATISTICS AT KAUST: 1 RESEARCH SCIENTIST, 3 POSTDOCS, 3
PHD STUDENTS



Multiple new positions in statistics are currently available in the
*Spatio-Temporal
Statistics and Data Science* research group of Distinguished Professor Marc
G. Genton (http://stsds.kaust.edu.sa) at King Abdullah University of
Science and Technology (KAUST): 1 Research Scientist, 3 Postdocs, and 3 PhD
Students. The positions are in environmental, climate, and/or wind energy
statistics and expertise/interest  in at least two of the following areas
is desired: spatial and spatio-temporal statistics; processes on spheres;
multivariate computational statistics; extremes; massive datasets; parallel
computing; HPC; machine learning; AI; emulators; functional data; copulas;
forecasting; visualization. Some of the positions will be associated with a
current long-term project on wind energy assessment in Saudi Arabia based
on high-resolution simulations and observational data.



King Abdullah University of Science and Technology (KAUST;
http://www.kaust.edu.sa) is an international, graduate research university
dedicated to advancing science and technology through interdisciplinary
research, education, and innovation. Located in Saudi Arabia, on the
western shores of the Red Sea, KAUST offers superb research facilities
together with unmatched living conditions for individuals and families. The
generous social policy coupled to the top-quality research facilities have
succeeded in attracting top international faculty, scientists, engineers,
postdocs and students. KAUST’s fundamental goal-oriented and
curiosity-driven research is employed to address the world's most pressing
challenges related to water, food and energy sustainability as well as
their impact on the environment. Statistics (http://stat.kaust.edu.sa) is
within the Computer, Electrical, and Mathematical Sciences and Engineering
Division.



*** *For Research Scientist and Postdoc positions:* The successful
candidates will have a doctoral degree in Statistics or in a field relevant
to the topics above. Experience in interdisciplinary research is desirable
and excellent programming skills are necessary. The positions come with a
highly competitive tax-free salary as well as free housing and free
health/dental insurance among other excellent benefits. The research
scientist appointment is for a period of 3 years, renewable up to 5 years,
and requires at least 2 years of active research post-PhD. The postdoctoral
appointments are renewable annually with an expected duration of 2-3 years.
Starting dates for these positions are immediately or to be arranged. To
apply, email a CV and names and contact information for two references to
Marc G. Genton (marc.genton em kaust.edu.sa). Applications are accepted
immediately and until the positions are filled.



*** *For PhD Student positions:* tuition-free graduate program in
Statistics with generous monthly living allowance, free on-campus housing,
free medical and dental coverage, and relocation support. Informal
enquiries can be sent to Marc G. Genton (marc.genton em kaust.edu.sa). More
details and formal applications for Spring and Fall 2022 can be made here:
http://admissions.kaust.edu.sa





**********************************************

Marc G. Genton, Distinguished Professor of Statistics



Statistics Program, Building 1, Office 4114

King Abdullah University of Science and Technology

Thuwal 23955-6900

Saudi Arabia



Spatio-Temporal Statistics and Data Science:

stsds.kaust.edu.sa <http://cemse.kaust.edu.sa/stsds>



marc.genton em kaust.edu.sa

www.kaust.edu.sa

stat.kaust.edu.sa <http://cemse.kaust.edu.sa/stat>

T +966 (0) 12 808-0244

M +966 (0) 54 470-1290

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