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, or 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:


NEW: There are opportunities for up two postdoctoral positions in my group.  This is part of a PIMS (Pacific Institute for the Mathematical Sciences) Collaborative Research Group in Low-dimensional structure in high-dimensional data analysis: connecting theory and practice.  Please see Mathjobs for further details:


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.   You are encouraged to submit your application by January 15, 2018.

Undergraduate Students

MITACS Globalink: I have several projects in the 2018 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 on the SFU Mathematics website.  Several example projects are listed below:

1. Fast simulation of anomalous diffusion processes

Supervisors: Ben Adcock & Simone Brugiapaglia

2. Parameter estimation and uncertainty quantification via high-dimensional approximation in irregular domains

Supervisor: Ben Adcock

3. Fast, low-rank approximation on irregular domains

Supervisor: Ben Adcock

4. Edge detection and segmentation from parallel MRI data 

Supervisor: Ben Adcock

5. Spectral theory of regularized Gram matrices with applications to polynomial frame approximation

Supervisor: Ben Adcock

Recent and Ongoing Student Projects

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