Xi’an Jiaotong-Liverpool University
1 week ago
Funded PhD in Hybrid Visualization for Scientific Data Xi’an Jiaotong-Liverpool University in China
Degree Level
PhD
Field of study
Computer Science
Funding
Full funding available
Country
China
University
Xi’an Jiaotong-Liverpool University
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About this position
PhD opportunity: Hybrid Visualization for Scientific Data at Xi’an Jiaotong-Liverpool University (XJTLU), School of Advanced Technology, in Suzhou, China.
This funded doctoral project focuses on computer science, data visualization, human-computer interaction, data science, and immersive technologies such as virtual reality (VR), augmented reality (AR), and mixed reality (MR). The research will investigate hybrid visualization methods for scientific data, including how users can move between overview and detail, abstraction and spatial representation, and different interaction modes across physical, augmented, and virtual spaces.
The project involves designing and developing interactive visualization prototypes, creating novel visual representations and interaction techniques, and running empirical user studies to evaluate effectiveness. Expected outcomes include design principles, interaction methods, and prototype systems for hybrid scientific visualization, contributing to immersive analytics and scientific analysis.
Supervision: Principal supervisor Dr. Lingyun Yu, with co-supervisors Dr. Yue Li and Dr. Baoru Huang.
Funding: Three-year funded PhD studentship. Tuition fees are covered for three years, and the award includes up to RMB 16,500 for international conference participation. The majority of research will be conducted at XJTLU in Suzhou, China, with a possible short-term research visit to the University of Liverpool if required.
Eligibility: A Master's degree with Merit and a Bachelor's degree with first-class or upper second-class honours are required for PhD admission. Exceptional candidates with only a Bachelor's degree may be considered. Strong spoken and written English is required; IELTS or equivalent 6.5+ is expected for non-native English speakers.
Application: Applications are accepted all year round. Interested applicants should email Lingyun.Yu@xjtlu.edu.cn with the project title in the subject line and include CV, two reference letters, personal statement, English certificates, transcripts, verified education certificates, and a dissertation/writing sample if available.
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
More information can be found here
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