Current openings

To apply for the below positions, please send an email to faisal-lab@sfu.ca with the subject line [faisal-recruitment] Application for <insert the name of the position interested in>. Include a few lines about yourself and attach your CV along with the most recent academic transcript.

PhD positions

We have openings for students interested in pursuing doctoral studies in our lab’s research focus areas. Interested applicants must also follow and successfully complete the formal Computer Science Ph.D. program admission procedures at SFU.

Masters thesis supervision

We are accepting applications from students planning to pursue a thesis based Masters program at SFU. Applicants already accepted into the Computer Science M.Sc. program may directly apply to us indicating interest, whereas students who have yet to obtain admission should also look at the M.Sc. program application instructions, and are expected to successfully complete the M.Sc. program entry requirements.

Undergraduate opportunities

Honors thesis projects

SFU undergraduates in the B.Sc. honors stream are welcome to apply and explore thesis topics to work on with our lab. Topics range from system development (see the full stack software engineering opportunity below) to statistical analysis and machine learning projects involving working with large medical imaging datasets and latest R, MATLAB and Python data science/ML libraries.

NSERC Undergrad Student Research Awards (USRA)

We have several undergraduate research projects for motivated candiates who are interested in working in the areas of medical image computing, big data analysis and machine learning.

USRA are meant to nurture your interest and fully develop your potential for a research career in the natural sciences and engineering. They are also meant to encourage you to undertake graduate studies in these fields. If you would like to gain research work experience that complements your studies in an academic setting, these awards can provide you with financial support through your host university. More information can be found on the USRA website

Full stack software engineering volunteers

We are looking for undergraduates with strong programming skills to join our full stack software development team to support our lab’s research and its real-world translation in the fields of medical image analysis, artificial intelligence (AI) and machine (deep) learning.

The expertise we need right now is in core software development and these projects involve working on one or more aspects of the medical image analysis software production process. Broadly, the software development projects fall under the following four areas: Web design & development (see CERAMICCA portal, Database systems, Big data processing infrastructure and Medical image manual labeling tools.

Through working on the various projects, you will be gaining experience in several programming languages (BASH, Python, MATLAB, C/C++, Qt, Ruby/Rails, JavaScript, etc.) & software frameworks (Docker/Singularity, Ansible, OpenStack, SQL, Apache, Spark, etc.), and also will have the opportunity to work with some of the most powerful computing resources available. Further, you will have the chance to work in a large programming team with members from different parts of the world using source code management tools such as GIT/SVN following industry-standard best practices like code-reviews and software testing, and thus get experience in how it would be to work in a fast-paced professional software development company environment. You will also receive mentorship and guidance in software development and medical image analysis research from senior team members. You will have a supportive team environment to discuss and develop your communication, critical thinking, collaboration and coding skills.

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