Assistant/Associate/Full Professor in Statistics 2024

Updated: about 2 months ago
Job Type: FullTime
Deadline: 6 Apr 2024 - 00:00 (UTC)

8 Mar 2024
Job Information
Organisation/Company

KING ABDULLAH UNIVERSITY OF SCIENCE AND TECHNOLOGY
Research Field

Mathematics
Researcher Profile

Recognised Researcher (R2)
First Stage Researcher (R1)
Country

Saudi Arabia
Application Deadline

6 Apr 2024 - 00:00 (UTC)
Type of Contract

To be defined
Job Status

Full-time
Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme
Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

The Statistics (STAT) Program in the Computer, Electrical, and Mathematical Sciences and Engineering (CEMSE) Division at the King Abdullah University of Science and Technology (KAUST) invites applications for faculty position at the rank of Assistant Professor (exceptional candidates at the Associate Professor level may be considered).

The STAT program (see https://stat.kaust.edu.sa ) consists of 8 core faculty members from 7 countries, one instructional professor, about 40 MS and PhD students, 5 research scientists and 15 Postdocs. 

We seek a candidate that could complement the current research profiles in the program, which currently has research groups in Bayesian computational statistics and modeling, Bayesian deep learning, biostatistics, environmental statistics, extreme statistics, geospatial statistics and health surveillance, spatio-temporal statistics and data science, and stochastic processes and applied statistics. Candidates with portfolios that align with Saudi Arabia’s national priorities for research, development, and innovation (RDI), namely, Health and Wellness, Sustainability and Essential Needs, Energy and Industrials, and Economies of the Future will be given the utmost priority (see also https://www.rdia.gov.sa/index.en.html ). Due to the high volume of applications we receive, only those submitted through the online form (link below) will be considered. 

Qualifications

We are particularly interested in candidates with educational backgrounds from distinguished institutions of higher learning or those who have previously contributed to such institutions. Ideal candidates will possess a Ph.D. degree in Statistics (or other relevant fields), exceptional research potential, the ability to attract external research funding and a strong dedication to teaching. We offer competitive compensation, comprehensive employment benefits, and access to ample research funding opportunities to address industry-relevant projects. At KAUST, we embrace diversity and encourage applications from female faculty candidates. We are committed to cultivating a diverse faculty body and contributing to our vibrant academic community.

KAUST (https://www.kaust.edu.sa ) is an international, graduate-only research university, located on the shores of the Red Sea in Saudi Arabia. It has a diverse international community, with English as the official instruction language. KAUST offers superb research facilities, including the upcoming Shaheen-3 supercomputer and a large-scale virtual reality installation; generous assured research funding; and internationally competitive salaries. KAUST attracts top international faculty, scientists, engineers and students to conduct curiosity-driven and goal-oriented research to address the world’s pressing scientific and technological challenges. KAUST ranked 1st globally for citations per faculty for six consecutive years, was ranked 1st university under 20 years old, and 8% of its faculty are listed as highly cited worldwide. KAUST provides full financial support to its students, covering tuition, accommodation, and a living stipend. Additionally, it strives to drive regional innovation and economic development through its technology commercialization arm and numerous spin-off startups.

Application Instructions

You will be required to complete an application form and upload the following materials:

  • A cover letter;
  • A complete curriculum vitae with a list of publications;
  • Research statement (max 5 pages) and teaching statement (max 2 pages);
  • The names and contact information for at least 3 (preferably 5) references.

For more information, please contact the chair for the STAT program [email protected]

Only applications submitted through the online Interfolio form will be considered. Applications will receive full consideration if submitted on or before December 31st and until the position is filled.


Requirements
Additional Information
Work Location(s)
Number of offers available
1
Company/Institute
KING ABDULLAH UNIVERSITY OF SCIENCE AND TECHNOLOGY
Country
Saudi Arabia
City
Thuwal, Saudi Arabia
Geofield


Where to apply
Website

https://www.timeshighereducation.com/unijobs/listing/366937/assistant-associate…

Contact
City

Thuwal, Saudi Arabia

STATUS: EXPIRED

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