This is an announcement for a job opportunity for a postdoc in the
Institute of Statistical Mathematics (ISM), Research Organization of
Information and Systems (ROIS). 

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    JOB OPPORTUNITY

Postdoctoral position:
    Applicants are invited to apply to the Transdisciplinary Research
Integration Center, ISM/ROIS. ISM is one of member institutes of ROIS
along with the National Institute of Informatics, the National Institute
of Genetics and the National Institute of Polar Research. The ISM
mission includes promoting statistical science and developing an
innovative methodology for approaching complex problems related to life
science, earth science, environmental science and human sciences from
the view point of information and systems
(http://www.ism.ac.jp/index_e.html). The position will start as soon as
possible after 1 April 2007. The postdoctoral researcher will work on
the following project “Discovery of Invariants in Multimodal Data” 
(http://www.ism.ac.jp/~tmatsui/kinou2_p4/index-en.html). The initial
contract is one-year long but could be extended up to three years.

Field of work:
    Machine learning, kernel machines, computational statistics,
Bayesian statistics, or multimodal processing

Project description:
    Multimodal data available to us through the Internet and other
electronic media are explosively increasing both in number and in
variety. To handle such massive data for various purposes, new
technologies need to be developed. With this in mind, we have started
investigating a new methodology that allows us to discover from
multimodal data the information relevant to the purpose at hand (which
is referred to as “invariants”). To achieve this goal, we will study
several qualitatively different problems from different research areas,
in which multimodal data play a central role (e.g., visual/audio/text
processing, cognitive science, auditory perception and robotics). The
problems are to be tackled with some of the recently developed inductive
learning machines including automatic model selection mechanism (e.g.,
Penalized Logistic Regression Machines and Support Vector Machines). The
results will be analyzed in order to establish a new methodology for
discovery of invariants, which will be applicable to problems across
different areas of study.

Job description:
    The successful candidate will support and coordinate our efforts in
the area of investigation of methods for discovery of invariants with
multimodal data.

Requirements:
    Applicants should have a PhD and some knowledge of machine learning
and statistics. Applicants must be able to program (C/C++ and Matlab
knowledge is an advantage but not requirement) and must also have
experience with statistical data analysis.

Payment:
    The salary will be in the range of 4,500,000 yen - 6,000,000 yen
(before tax and insurance).

Application:
    Applicants should send their CV, including a list of publications
and the names of two potential referees.

Contact:
Prof. Tomoko Matsui
E-mail: [log in to unmask]
Tel: +81 3 5421 8769

-- 
Tomoko Matsui
The Institute of Statistical Mathematics
Tel: +81 3 5421 8769  Fax: +81 3 5421 8796
E-mail: [log in to unmask]
HP: http://www.ism.ac.jp/~tmatsui/