[visionlist] PhD Scholarships Available with UTS-VNU Joint Technology and Innovation Research Centre

Mon Oct 14 04:35:45 -04 2019

Overview: The Center for Multidisciplinary Integrated Technologies for Field Monitoring (FIMO) at the University of Engineering Technology, Vietnam National University Hanoi, together with the Perceptual Imaging Laboratory, School of Electrical and Data Engineering, Faculty of Engineering and Information Technology, University of Technology Sydney is seeking applications from students wishing to undertake PhD studies on the topics listed below.

Eligibility: Bachelors degree with honours or Masters degree in computer science, vision science or related field. Successful applicants will be expected to spend at least a year in Vietnam, studying at the University of Engineering Technology, Vietnam National University Hanoi, Vietnam, followed by a period of study at the University of Technology Sydney, Australia before returning to complete their studies in Vietnam. At the end of their studies, applicants will be awarded a PhD degree by both VNU Hanoi and UTS.  To initially be accepted into the program, candidates must meet English proficiency requirement (IELTS 6.0) with demonstrated excellence in academic achievement (e.g. top venue publications). To progress to the UTS component of the program, candidates must have demonstrated research excellence during the initial stage and meet an English proficiency requirement of IELTS 6.5.

Funding: Successful applicants will receive a living stipend and full fee waiver during both their studies in Vietnam and Australia funded through the Joint Technology and Innovation Research Centre (http://jtirc.uet.vnu.edu.vn/), a research collaboration between the University of Technology Sydney and Vietnam National University Hanoi.

Contact Details: Please contact A/Prof Stuart Perry (Stuart.Perry at uts.edu.au<mailto:Stuart.Perry at uts.edu.au>) and A/Prof Thi Nhat Thanh Nguyen (thanhntn at fimo.edu.vn<mailto:thanhntn at fimo.edu.vn>) to enquire about these topics.

1.       Project Description: Wide-Area Urban 3D Imaging:

3D maps of urban environments are crucial for urban planning, real estate and the monitoring and prediction of environmental issues affecting cities. This project is concerned with the development of advanced urban 3D mapping technologies involving existing satellite imagery sources, and low cost drone technologies including standard camera technologies or 360 degree camera systems mounted on drones. It is envisioned that this project would involve the development of cutting edge computer vision systems involving advanced machine learning techniques. This may include machine learning to stitch 3D data from a variety of modalities or the use of machine learning to extract 3D information from satellite and 360 degree drone imagery.

2.       Project Description: Advanced Satellite Environmental Modelling:

Satellite imagery has a wide variety of uses and the potential to help improve the productivity of agriculture and the effectiveness of urban management. This project is concerned with the use of advanced machine-learning based computer vision techniques to classify and analyse images of the environment in Vietnam and other countries. This may involve computer vision for the analysis of water usage, rice production, forest clearing activities, urban development or other applications.

Stuart Perry
Associate Professor

Faculty of Engineering and IT, School of Electrical and Data Engineering
University of Technology Sydney
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