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Update : 2010/02/25
Application deadline: 2010/01/15
Status: position filled
Beginning: March 2010

Post-doctoral position:

Multiscale/Multirate Image Processing with Applications in the Geosciences: full details with contact information (pdf).

Featured and detailed at Wavelet Digest, GdR ISIS and Nuit Blanche

Topic:

The topic proposed for this post-doctoral position is focused on the analysis of geophysical data and their filtering with the help of multiscale/multirate image processing algorithms. Historically, the complexity of seismic data and its interpretation have contributed to the development of several efficient signal processing tools such as the wavelet transform. In certain seismic data however, different wave types mixed together cannot be separated easily by standard random noise filtering schemes. In order to remedy this issue, efforts have been underway to use models that can be partially matched with data in order to allow for adaptive identification or subtraction. The aim of the proposed work is to develop innovative techniques for multiscale/multirate data/model matching. The eventual goal is to exploit simultaneously model and sparse features in the transformed domain with the recently developed directional wavelets and filter banks, based on local multiscale attributes. While the proposed subject is focused on seismic applications, it is strongly related to more general issues in model based signal processing and detection theory, found in many areas of engineering and science.

Related references:

C. Chaux et al., 2006, IEEE Trans. Image Processing 15(8) 2397-2412, doi: 10.1109/TIP.2006.875178
Image Analysis Using a Dual-Tree M-Band Wavelet Transform
A. Droujinine, 2006, J. Geophys. Eng. 3 59-81, doi: 10.1088/1742-2132/3/1/008
Multi-scale geophysical data analysis using the eigenimage discrete wavelet transform
J. Gauthier et al., 2009, IEEE Trans. Signal Processing, doi: 10.1109/TSP.2009.2023947
Optimization of Synthesis Oversampled Complex Filter Banks

Qualifications:

  1. A PhD degree in Electrical Engineering (signal or image processing, computer vision, Computer Science, Applied Mathematics), or other related experience;
  2. Programming skills with MATLAB and C/C++;
  3. Excellent skills in signal/image analysis;
  4. Knowledge in Geophysics is desirable but not required;
  5. Knowledge in wavelets and filter banks is highly desirable.