About the Project
The candidate should have a first class or upper second class honours degree, or a master’s degree (or equivalent qualification), in Civil Engineering (e.g. surveying), Geomatics Engineering, Computer Science (e.g. computer vision) or Geography (e.g. GIS, remote sensing. The candidate should have excellent programming skills (MATLAB, PYTHON or C++) and experience in spatial data analysis and statistics. Good knowledge of spatial statistics and GIS would be useful.
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.
The student will be awarded a PhD degree from the University of Liverpool (UK) upon successful completion of the program.
Terrain surface roughness is an important index in terrain analysis for studying various environmental and engineering problems. In recent years, fine-resolution point cloud data have become a common form of spatial data for characterizing terrain surfaces, and facilitate the quantification of spatially detailed local terrain roughness. Its quantification methods are typically based on direct measures of spatial variations, inevitably causing uncertainty in the effectiveness of the quantified values to represent the actual local roughness required for terrain analyses (e.g. quantification of local digital elevation model errors). While this uncertainty is often ignored in practice, some studies suggested inadequacies of some local roughness indices/methods routinely used. In this project, a holistic investigation will be conducted to better understand the inadequacies of the existing methods in the context of various GIS-based products and analyses, to investigate the factors that affect the quantified roughness values, and to develop improved/new methods.
For more information about doctoral scholarship and PhD programme at Xi’an Jiaotong-Liverpool University (XJTLU): Please visit
How to Apply:
Interested applicants are advised to email [email protected] (XJTLU principal supervisor’s email address) the following documents for initial review and assessment (please put the project title in the subject line).
• Two reference letters with company/university letterhead
• Personal statement outlining your interest in the position
• Proof of English language proficiency (an IELTS score of 6.5 or above)
• 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)
• PDF copy of Master Degree dissertation (or an equivalent writing sample) and examiners reports available
Informal enquiries may be addressed to Professor/Dr. Lei Fan(Lei.Fan @xjtlu.edu.cn), whose personal profile is linked below,
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