British Chevening Award for the academic year 2009-2010

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British Chevening Award for the academic year 2009-2010

The Chevening scholarships are offered in over 150 countries and enable talented graduates and young professionals to become familiar with the UK and gain skills which will benefit their own countries.
The awards are included tuition, stipend, return airfares (economy class) and other allowances.

Support for scholars

Pre-departure English Course
English language training is included as part of the scholarship (if required) and candidates from outside Jakarta are supported during the period of the course. The language training is a full-time study and will be held in Jakarta. The candidate will need to obtain release from her/his employment for the duration of the course.

UK University Placement
Chevening is a self-placement programme. Students who are selected are responsible for making their own approaches to the UK university. We provide the facility in identifying the most suitable university and course if students wish to receive help or advice.

Students are required to apply to 3 universities in the UK.

Successful candidates will be invited to attend a briefing. The briefing will cover:

* Terms and condition of the awards
* Introduction to Education UK
* How to make an application and choose a suitable course

Prior to their departure, scholars will be invited to attend a pre-departure briefing. The briefing will cover:

* Customs and immigration procedures
* Studying and living in the UK
* Finding accommodation
* Information concerning travel
* Payment
* Opening Bank Account
* Welfare

Scholars also will be invited to an individual briefing/meeting with a Chevening officer. They will have the chance to discuss any issues concerning their scholarship and life overseas.

How to apply
Find out more about how to apply at the requirement page.
Online Application

Application Deadline: 30 November 2008

[New Zealand] PhD Scholarship in Genetic Programming for Data Mining Tasks - Victoria University of Wellington

PhD Scholarship in Genetic Programming for Data Mining Tasks
Genetic Programming and Evolutionary Computing research group


The Genetic Programming and Evolutionary Computing research group at Victoria University of Wellington was recently awarded a large research grant in Genetic Programming (GP) for data mining tasks by the Marsden Fund of New Zealand (similar to the National Science Foundation in USA). We are looking for a good PhD student in this field. The grant will provide full funding for the student to cover the tuition fees, living allowance, and travel cost.
The Project

Data mining tasks arise in a wide variety of practical situations, ranging from classification to regression, clustering, and optimisation tasks. Since the 1990s, genetic programming (GP) has become a promising approach to building reliable data mining models quickly and automatically. GP uses ideas analogous to biological evolution to search the space of possible models to evolve a good solution for a particular task. GP has been applied to many data mining tasks and achieved some success. However, there are still limitations in program structures, representations, genetic operators, search algorithms and theoretical foundations in GP that restrict GP for difficult data mining tasks.

Applicants are invited from excellent and enthusiastic students wishing to undertake a PhD in this area. The successful applicant will extend the current research and address the methodological/theoretical issues in GP and/or a real-world engineering applications in data mining using GP and related evolutionary learning techniques.
The Student

Applications from both domestic and international students are invited. A strong background in C/C++/Java programming and a basic background in machine learning and pattern recognition are required. A good background in genetic programming, evolutionary computing, neural networks, statistics, or statistics/operations research is desired. Students should have a first class Honour or a Masters degree in computer science.

Closing date: 1 May 2009
Dr Mengjie Zhang

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