In our group, we offer inspiring engineering research atmosphere and research projects in remote sensing, photogrammetry and computer vision. Our group is well-connected internationally and team-members have the opportunities to exchange and visit centers such as in ETH Zurich, Singapore ETH Center, and German Aerospace Center (DLR) etc. to gain international scopes. We are always seeking for motivated graduate students. We are interested in students with solid basics in mathematics/statistics and computer programming (e.g. C/C++), preferably having a background in remote sensing or computer vision/photogrammetry. If you are interested in the Ph.D. program offered in the department of CEGE and department of ECE, and would like to work in the GDA group, please feel free to contact Dr.Rongjun Qin at
Graduate research associate (RA) may be available for research projects, Graduate teaching associate (TA) and fellowships may be offered by the department and university. For post-doc positions please contact Dr. Qin for potential opportunities. Visiting scholars and visiting students are welcome for collaborations (see further below for general info for CSC scholars/students).
We are always looking for talented graduate students or postdocs who share a great passion in 3D computer vision, machine learning, photogrammetry and remote sensing to join our lab. We offer a great deal with training opportunities for young researchers to grow and eventually become industrial and academic leaders in the field.
To Prospective Students: For general questions related to the application procedure, please visit the relevant web pages as shown below:
Please understand that due to the large number of emails I receive, I may not be able to reply to every potential applicant, while if you appear to be a qualified student with matching interests, I will contact you for further discussions. To make the communication more effective, the following are suggested when you initiate the contact: 1) Attach your CV outlining your major experiences that are closely related to our research interest; 2) Try to describe what you are interested in a specific way rather than “I am interested in remote sensing or your research”: mentioning one of our papers/projects would be ideal, and talk about what you want to do, proposing something new is also encouraged. 3) If any, demonstrate your practical experiences of programming in computer vision, photogrammetry and remote sensing.
The followings are relevant research themes in our team:
Remote Sensing and Photogrammetry:
You will be enrolled in the Geoinformation graduate program in the Department of CEGE, or you may also be considered in the Environmental Science Graduate Program (ESGP) for studying environment-related remote sensing problems. You will be working on various image interpretation problems using information included but not limited to multi-resolution, multi-temporal, multi-spectral/hyper-spectral/LiDAR/DSM/thermal data. Specific topics will be given on particular applications related to natural and built environment. Examples are large scale monitoring of glacier movement, ecological monitoring, land-cover classification, earthquake assessment. UAV remote sensing with application to precision agriculture, crop monitoring and object detection.
In our photogrammetry research, surveying oriented photogrammetry theory and concept will be examined and applied to various precision engineering problem (aerial/satellite and close-range), geometric correction, device calibration, multi-sensory data alignment and precision deformation monitoring. Interested research direction includes planetary and satellite photogrammetry. Another interested branch is 3D city modeling, where you are expected to collaborate with team members in computer vision, to work on precise 3D polygonal model generation and attributation, serving for GIS data generation/update and analysis.
You will be enrolled in the Computer Vision and Image Processing research area in the Department of ECE. In our group, you are expected to develop innovative algorithms related to 3D vision and scene understanding, with a major focus on processing various types of top-view images such as satellite, UAV, airborne data. You will learn to understand how 3D vision could be used for precise measurements. You are also expected to work on machine learning, pattern recognition problems related to image/video/LiDAR-based target detection, as well as vision-based navigation techniques.