PhD Project: High-resolution Imaging of Near-Earth Objects and Space Debris: Real-Time Atmospheric Tomographic Signal Processing
The research project is concerned with development and implementation of signal and image processing algorithms for predicting a distortion function when viewing an artificial satellite or large space debris objects thorough atmospheric turbulence and with the aid of a 60 cm to 100 cm optical telescope. The project focuses on novel computational methods and algorithm development to implement methods such as atmospheric tomography to achieve real-time performance. This project is in collaboration with other adaptive optics and computational imaging groups, such as University of New South Wales in Canberra, however the majority of work will be completed at the University of Canterbury in Christchurch New Zealand.
University or Organization: University of Canterbury New Zealand
Department: Department of Electrical and Computer Engineering
- Course Level: PhD
- Award: Given Below
- Access Mode: Online
- Number of Awards: NA
- Nationality: International Students or Any
- Field: Any
- Language: English
- Eligible Countries: International Students or Any
- Acceptable Course or Subjects: Available for PhD program at the university.
- Admissible Criteria: NA
How to apply
The required documents details are provided in the confidential Links of the University or Organization.
Student must have good command of written and spoken English.
A 3-year Ph.D. Scholarship (stipend + tuition fees) is available in the Computational Design & Adaptation (CDA) research Group in the Department of Electrical and Computer Engineering at the University of Canterbury in New Zealand.
Applications accepted all year round, you can check for More Details
Weddell, S.J., Clare, R., and Lambert, A. (2019). “Near Earth Object Image Restoration with Multi-Object Adaptive Optics”, Proc. 1st NEO and Debris Detection Conference, Darmstadt, Germany, 22-24 January 2019, published by the ESA Space Safety Programme Office
Ed. T. Flohrer, R. Jehn, F. Schmitz (http://neo-sst-conference.sdo.esoc.esa.int, January 2019)