Each year faculty within the IAM accept graduate students at the Masters and PhD level. Prospective students should contact individual faculty members for more information and read about how to apply. In addition, faculty members sometimes take on undergraduate research assistants, or have specific research initiatives with extra opportunities. For more information about research in the IAM, consult the research groups page.
There are postdoctoral positions available in Computational Seismology. The Seismic Laboratory for Imaging and Modelling (SLIM) at the Department of Earth, Ocean, and Atmospheric Sciences, the University of British Columbia, invites applications for postdoctoral fellows in the following areas:
- observational seismology: development of practical data acquisition scenarios, using simulation-based acquisition design, and practical workflows for 3-D full-waveform inversion;
- computational and theoretical seismology: design and implementation of large-scale 3D parallel seismic modelling (time-stepping and time-harmonic) and wave-equation based imaging (reverse-time migration) and inversion (full-waveform inversion and migration velocity analysis) techniques;
- compressive sensing: design and implementation of novel seismic data acquisition, sparse/low-rank optimization algorithms, and directional transforms including curvelets;
- scientific computing & inverse problems: design and implementation of reduced and full-space PDE-constrained optimization and (Bayesian) parameter-estimation techniques designed to make inferences on the physical properties that govern wave propagation from data collected at the surface, and
- optimization, machine learning, and image processing: large-scale convex and stochastic optimization; machine learning techniques, including (positive) matrix factorizations, convolutional deep learning, and the scattering transform; image processing including feature detection and classification.
There are three postdoctoral openings at the Seismic Laboratory for Imaging and Modeling (SLIM) in the following areas: computational & theoretical seismology, observational seismology, compressive sensing, scientific computing & inverse problems and optimization & machine learning.
2011: There are graduate student and postdoctoral openings at the Seismic Laboratory for Imaging and Modeling (SLIM). Successful candidates will work on the DNOISE project under supervision of the IAM faculty Felix Herrmann (Earth and Ocean Sciences), Özgür Yilmaz (Mathematics), or Michael Friedlander (Computer Science). See the SLIM website for more information.