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A Multi-agent Model for Big Data Analytics

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  • Full or part time
    Dr G Li
    Prof K Atkinson
  • Application Deadline
    Applications accepted all year round
  • Funded PhD Project (Students Worldwide)
    Funded PhD Project (Students Worldwide)

About This PhD Project

Project Description

Requirements:
The candidate should have a first class or upper second class honours degree, or a master’s degree (or equivalent qualification), in Computing Sciences. Evidence of good spoken and written English is essential. The candidate should have an IELTS score of 6.5 or above, or an equivalent qualification, if the first language is not English. This position is open to all qualified candidates irrespective of nationality.

Degree:
The student will be awarded a PhD degree from the University of Liverpool (UK) upon successful completion of the program.

Funding:
The PhD studentship is available for three years subject to satisfactory progress by the student. The award covers tuition fees for three years (currently equivalent to RMB 80,000 per annum) and provides a monthly stipend of 3500 RMB as a contribution to living expenses. It also provides up to RMB 16,500 to allow participation at international conferences during the period of the award. It is a condition of the award that holders of XJTLU PhD scholarships carry out 300-500 hours of teaching assistance work per year. The scholarship holder is expected to carry out the major part of his or her research at XJTLU in Suzhou, China. However, he or she is eligible for a research study visit to the University of Liverpool of up to three months, if this is required by the project.

Project Description:
Big Data Analytics is trying to derive value out of big data in supporting business decisions. There are many methods existing to analyze different types of data and from different analytical perspectives. To achieve an overall value abstraction with unknown purposes in a given big data set for analysis tasks, multi-agent systems would be a natural approach if each exiting methods can be described as an agent and their cooperation during the analysis process are necessary. It is interesting to find mechanisms that enable multiple agent work together to achieve overall social efficiency in big data analytics.

For more information about doctoral scholarship and PhD programme at Xi’an Jiaotong-Liverpool University (XJTLU): Please visit
http://www.xjtlu.edu.cn/en/admissions/phd.html

http://www.xjtlu.edu.cn/en/admissions/phd/feesscholarships.html

How to Apply:
Interested applicants are advised to email [email protected] (principle supervisor’s email address) the following documents and copy [email protected] (please put the project title in the subject line).
• CV
• Two reference letters
• Personal statement outlining your interest in the position
• Proof of English language proficiency (an IELTS score of above 6.5 or equivalent is required
• Verified school transcripts in both Chinese and English (for international students, only the English version is required)
• Verified certificates of education qualifications in both Chinese and English (for international students, only the English version is required)

Informal enquiries may be addressed to Dr. Gangmin Li ([email protected]jtlu.edu.cn ), whose personal profile is linked below,
http://www.xjtlu.edu.cn/en/staff?id=009882997XIT

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