Recently, big data has expanded rapidly and its applications in areas such as logistics, transportation and finance continue to grow, thereby taking a central position in our economy and society. Existing big data analytic methods are generally single-stage methods, meaning that they treat the system under study as an atomic entity with all its data directly available for analysis. However, most systems under study are complex, consisting of separable but interdependent subsystems, which are difficult to handle by existing single-stage methods. This brings new challenges and opportunities in all phases of data analytics including data collection, feature learning, model learning and application. In this project, we focus on developing new methodologies for multi-stage big data analytics on complex systems that address the challenges brought up by the diverse requirements, high dependency and correlated objectives of the subsystems. Specifically, we target at investigating four major tasks: 1) multistage data sampling; 2) joint feature representation learning; 3) multi-stage model learning; 4) machine learning model explanation; and 5) the application in the semiconductor industry system for evaluating the effectiveness of our proposal.
For more information about doctoral scholarship and PhD programme at Xi’an Jiaotong-Liverpool University (XJTLU), please visit
https://www.xjtlu.edu.cn/en/admissions/global/entry-requirements/
https://www.xjtlu.edu.cn/en/admissions/global/fees-and-scholarship
Requirements:
The candidate should have a first class or upper second class honours degree, or a master’s degree (or equivalent qualification), in computer science, or statistics relevant majors.
Evidence of good spoken and written English is essential. The candidate should have an IELTS score of 6.5 or above, 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.
How to Apply:
Interested applicants are advised to email [Email Address Removed] (XJTLU principal supervisor’s email address) the following documents for initial review and assessment (please put the project title in the subject line).
- CV
- Two formal reference letters
- Personal statement outlining your interest in the position
- Certificates of English language qualifications (IELTS or equivalent)
- Full academic 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)
- PDF copy of Master Degree dissertation (or an equivalent writing sample) and examiners reports available
Contact
Please email [Email Address Removed] (XJTLU principal supervisor’s email address) with a subject line of the PhD project title.
The principal supervisor’s profile is linked here:
https://www.xjtlu.edu.cn/en/departments/academic-departments/intelligent-science/staff/jia-wang02
Continue with Facebook
