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

[Machine Learning KDD]

----Job Description----

Several Postdoc positions are available in Data Mining and Machine
Learning research group 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,
cloud/grid computing, anomaly detection, intrusion detection,
computer
and internet security 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 (with
Prof. Jianhua Huang, 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
Prof. Xiangliang Zhang (xianglia...@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 an
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 young scientists to build up their career at KAUST.
Further information about KAUST can be found at: http://www.kaust.edu.sa.