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Postdoctoral Research Fellow Positions in Machine Learning and Data Mining at KAUST

 

Appointments Available Immediately

 

*  Job Description

 

Several Postdoc positions are available in Data Mining and Machine Learning research group directed by Dr. Xiangliang Zhang in Division of Mathematics and Computer Sciences and Engineering (MCSE) at King Abdullah University of Science and Technology (KAUST) located on Red Sea shore. Candidates with experience in one or more of the following research areas are invited to apply: machine learning, data mining, artificial intelligence, databases, neural computing, statistics, high performance computing, information retrieval, cloud/grid computing, anomaly detection, and recommender systems.

 

Candidates need to hold an earned Ph.D. (or be near completion) in computer science or in a related field with good programming skills in C/C++/Java/Matlab. Successful candidates will be self-motivated and are expected to have a good publication record and good command of English. The position holders will perform interdisciplinary research, shape research directions, produce and disseminate results through publications, coordinate research projects and help to supervise Ph.D. and M.S students.

 

Our group has solid collaborations with a number of international research centers. The candidates will have a chance to stay for a period at IBM T.J. Watson Research Center (New York), at Texas A&M University (College Station, TX), or at INRIA/University Paris-Sud 11 (Paris) to perform joint research.

 

The PostDoc positions are for 1 to 3 years.

 

*  KAUST offers

 

*       Very competitive tax exemption salary and benefit package (e.g., free  high-standards fully furnished houses, health insurance, free education at  KAUST international schools for children, and 30 days of paid vacation  per year).

*       Sufficient funding support (e.g., conference attendance and international trip support).

*       State-of-the-art research facilities, including one of the fastest supercomputers in the world (IBM BlueGene, 64000 cores, 64TB RAM), and  a word-class visualization center.

*       Collaboration (including exchange visits and internships) with top institutions such as Stanford, Berkeley, Cambridge, Imperial College,   IBM Watson, INRIA, and others.

*       Vibrant campus life and impressive recreational facilities that include a private beach, marina and golf course.

 

*  Application

 

Interested applicants are invited to submit their application electronically to Dr. Xiangliang Zhang (xiangliang.zhang@kaust.edu.sa) with a detailed professional Curriculum Vita (including educational background, professional experience, and a list of publications). Successful candidates will be further contacted to provide more documents (e.g., two or three recommendation letters and a brief statement of research interests/plans).

 

Applications will be handled in strict confidentiality. KAUST is an equal opportunity employer.

 

Deadline: Review of applications will begin immediately. We have openings for annual positions. This post is valid all year long and the positions will remain open until filled.

 

*  About KAUST

 

King Abdullah University of Science and Technology (KAUST) is a brand new, international, graduate-level research university supported by a multi-billion dollar endowment. With sufficient research funding, highly competitive and merit-based  compensation scheme, state-of-art core facilities,  supercomputing machines  (for KAUST's Shaheen Supercomputer see http://www.hpc.kaust.edu.sa/) and university leadership's vision and commitment to make KAUST one of the world's  greatest academic institutions, KAUST has attracted a large group of internationally recognized talents. Furthermore, through a Global Research  Partnership, KAUST has built up deep and meaningful partnerships with the  world's most premier institutions (e.g., Stanford University, University  of Illinois at Urbana Champaign (UIUC), The University of Oxford, UC Berkeley,  Cornell University, University of Texas at Austin, Texas A&M University) and  biggest companies (e.g., IBM, Boeing, Dow Chemical Company), which provide  KAUST researchers ample opportunities to work with the world's most leading  scientists and to commercialize their research projects.  The aforementioned unrivaled resources available to KAUST researchers offer unprecedented opportunities for scientists from around the globe and across all cultures to build up their career at KAUST. Further information about KAUST can be found at: http://www.kaust.edu.sa.