I am always looking for talented undergraduate, graduate and postdoctoral researchers to join my group.  If you are a prospective student or postdoc please take a look at my Research page to get an overview of the type of research my group does, as well as the list of recent projects below.  If this work interests you, then please send me an email.


Here is a list of opportunities broken down by category:


None at this time.  Please check back in Fall 2018.

Graduate Students

Prospective MSc and PhD students who wish to work in my group need to apply to the SFU Mathematics graduate program.  If you are considering applying please email me to discuss your application further.   The application deadline is typically in January of each year.

Undergraduate Students

MITACS Globalink: I normally advertise several projects in the MITACS Globalink Research Internship program.  This program offers funding for 12-week summer research projects for senior undergraduate students.  Please check out http://mitacs.ca/en/programs/globalink for details.

SFU USRA/VPR: I typically host several undergraduate projects as part of the USRA/VPR program (for students from both SFU and elsewhere).  These are normally advertised in December of each year on the SFU Mathematics website.

Recent and Ongoing Student Projects

Deep Learning Techniques for Inverse Problems in Imaging

Stochastic Collocation Methods for Uncertainty Quantification of Physical Models

Topics in Compressed Sensing and Sparse Regularization

Compressed Sensing in Parallel Image Acquisition Systems

Numerical Methods for Parameter Assessment from Time-Dependent Magnetic Resonance Signals

Optimal Sampling Strategies for Compressive Imaging

Multivariate Function Interpolation with Compressed Sensing

Weighted Sparse Recovery with Corrupted Measurements

Frames and Numerical Approximations from Indirect Data

Sparsity-regularized Parallel Magnetic Resonance Imaging

Nonnegative Sparse Recovery and Compressive Imaging

Uncertainty Quantification with Corrupted Measurements

Recovery Guarantees for Practical Compressive Imaging Systems

Nonuniform Sampling and Efficient Compressed Sensing MRI

Phase Transitions in Weighted l1 Minimization

Interpolation Techniques for Overcoming the Gibbs Phenomenon

Parameter Selection and Numerical Approximation Properties of Fourier Extensions from Fixed Data