Postdoc position at SPID-M, UQAM, Montreal:
I am in the process of hiring a Postdoc for up to 2 years through the Mitacs Accelerate program with an industry partner. The postdoc will develop passive seismic tomography for mineral exploration in Quebec.
I invite candidates with a background in computational Geophysics or related fields, and with extensive experience in algorithm development and optimization in Python and C++, to contact me at kazemi_nojadeh.nasser at uqam.ca. At the start of the project (early 2026), the candidate must be available.
The email subject should be ‘Postdoc inquiry-Mitacs’. The candidate should send me their updated CV, a sample of a research publication, and a short description of their relevant expertise for the project.
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Naveen Gupta has published his first paper in the Computers and Geosciences journal (2025)
Naveen Gupta, Nasser Kazemi, PyInvGeo: An open-source Python package for regularized linear inversion in geophysics, Computers & Geosciences, Volume 202, 2025, 105948, https://doi.org/10.1016/j.cageo.2025.105948.
Here is the free access link to this open access paper: Free link for paper
Naveen has developed a Python package for linear inversion of geophysical data with several algorithms through his Mitacs Globalink summer internship.
All the codes are available here: Github codes
We hope you find the package and paper beneficial for the education and development of new applications.
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Zahra Sadeghi has published her first paper on seismic interpolation in the Canadian Journal of Exploration Geophysics (2025):
The method called Double projection seismic data interpolation algorithm. Zahra introduces an algorithm for reconstructing missing seismic traces, essential for accurate processing and interpretation. The method combines hard thresholding (to enforce sparsity in the transform domain) with Projection Onto Convex Sets (POCS) (to reintegrate observed data). It uses the N-dimensional Discrete Cosine Transform (ND-DCT), which offers fast, real-valued sparse representations, especially effective for high-dimensional data. The algorithm does not require windowing and guarantees convergence despite the non-convexity of hard thresholding. Tests on both synthetic data and real 2D/3D seismic datasets (from Alaska and Wyoming) show strong performance in signal recovery.
The paper can be freely downloaded from: https://cseg.ca/wp-content/uploads/5.-ZAHRA_SADEGHI_final_SCH.pdf
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EAGE conference abstract in Toulouse, 2025–> Kazemi, N., Reverse time migration of a moving source (link): Imaging seismic data recorded by a continuous and moving source is of interest. Our preliminary modeling and imaging of such sources show that by increasing the source movement, the conventional imaging condition results in more crosstalk in the final image.
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