Whether it is in academia or in a corporate setting, there are plenty of options to choose from with regards to a career after your time in EECS. This page highlights career related information, services, and events at York. Besides the Co-op and Internship Program, with which we are directly involved, the Department can serve as a conduit for career information from other sources.
The Career Centre is committed to working with members of the York community to provide targeted career support to students across the York campus.
York Career Centre
The Career Center at York is the major provider of information, services and events. Please consult the Career Centre’s calendar to see the full slate of career development and other related events.
ACM Career Centre
The ACM Career & Job Center is the perfect place for job seekers and employers in the computing industry to connect with each other. Whether your focus is media, design, user-interface, HCI, security, gaming, graphics, hardware or software, the ACM Career & Job Center will assist you with finding your next great career opportunity in our searchable database of information technology/computing jobs. Search hundreds of computing jobs, in both academia and corporate.
Occasional Employment Opportunities
Every now and then someone contacts us to ask if we have a student who might help them – we don’t endorse these potential employers – we simply post them here for you to respond to should you wish.
|Date Posted||Contact||Brief Description||Status|
|Feb. 8, 2019||Mike Freedland 416.577.8696||part time; use Amazon Web Services to download, encrypt, store source files, create dashboard for customers, create database for customer info||unknown|
|May 24, 2019||Dr. Craig Damian Smith||Associate Director of the Global Migration Lab, Munk School of Global Affairs & Public Policy. For a project on data-driven approaches to measuring refugee integration. The position will start immediately, and will involve working with an evolving dataset to develop interactive, web-based data visualizations using R and Shiny.||open|