[Jobinfo] Fwd: [Ieee_vis_open_positions] Postdoc Position in Visualization of Large Scale Geophysical Data Under Uncertainties at KAUST

-------- Forwarded Message --------
Subject: 	[Ieee_vis_open_positions] Postdoc Position in Visualization of 
Large Scale Geophysical Data Under Uncertainties at KAUST
Date: 	Thu, 25 Feb 2016 16:40:21 +0100
From: 	Thomas Höllt <thomas.hollt@kaust.edu.sa>
To: 	ieee_vis_open_positions@listserv.uni-tuebingen.de



Applications are sought for an open postdoctoral position in 
visualization of large-scale random data at King Abdullah University of 
Science and Technology (KAUST). KAUST is a graduate research university 
located at the Red Sea coast 80 km north of Jeddah, Saudi Arabia 
(http://kaust.edu.sa <http://kaust.edu.sa/>).


The successful candidate will be involved in a collaborative project 
between established groups at KAUST with expertise in large-scale 
visualization led by Professor Markus Hadwiger, ocean modeling and data 
assimilation led by Professor Ibrahim Hoteit, and uncertainty 
quantification led by Professor Omar Knio. The aim of this project 
concerns the development and demonstration of advanced visualization 
techniques that would enable to systematically tackle some of key 
challenges and open issues in uncertainty visualization. The project 
focuses on various geophysical fluid applications, and specifically aims 
to develop capabilities for preprocessing statistical and information 
theoretic quantities, and embedding uncertainty quantification 
capabilities into interactive visualization tools.


Qualified applicants should possess a Ph.D. in computer science, applied 
mathematics, or a related field, with research experience in 
visualization or other areas of visual computing. Applicants should be 
able to work on challenging research projects involving extensive 
software development with a minimal amount of supervision. Applicants 
should have experience in writing high-performance, low-level code in 
C/C++ and developing GPU code using OpenGL and CUDA or OpenCL. Extensive 
experience with GPU shader and kernel development and debugging is a 
must. Additional experience with programming languages such as Python 
and JavaScript, libraries such as Qt, OpenCV, and D3, as well as 
development environments such as Visual Studio is beneficial.


The compensation package includes a competitive tax-free salary 
($65K-$75K); free fully furnished housing; full health care; 4 weeks 
annual vacation, free international schools, and family annual travel 
allowance.


To apply, please send curriculum vitae and a letter of interest with the 
names and contact information of at least two references to

ibrahim.hoteit@kaust.edu.sa <mailto:ibrahim.hoteit@kaust.edu.sa>


KAUST believes that a commitment to the principles of fairness and 
respect for all helps create a climate that is favorable to the free and 
open exchange of ideas, and the University seeks to reach out as widely 
as possible in order to attract and retain the best faculty, staff and 
students. For these reasons, decisions concerning the admission and 
evaluation of students, the granting of scholarships and research 
funding, as well as employment of personnel in all University 
departments and offices, are made on the basis of an individual’s 
qualifications and contributions to the University’s educational 
objectives and its institutional goals.

For more information on the KAUST vision visit 
http://www.kaust.edu.sa/vision.html



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