AVAILABLE OPPORTUNITIES
We welcome energetic, creative and motivated domestic or international students and researchers who are excited about pursuing graduate studies and scholarship in software engineering, computer networks and analytics. Successful candidates will have the opportunity to work with professors from York University, Polytechnique Montreal, Ryerson University, University of Alberta, University of Toronto, and University of Victoria, in the following research areas:
- Smart Transportation
- Smart Buildings
- Remote Assisted Living
- End-to-End IoT Analytics and Assurance
- DevOps for IoT
- Blockchain, Security, Safety, Privacy and Ethics in IoT
- Data Science
- Cloud Computing
Please note that successful candidates will be admitted to the graduate program or university of their selected professor.
Contact our Program Manager to inquire about our program's undergraduate, graduate and postdoctoral opportunities across Canada.
Prospective Postdoctoral Fellows
Two-year Postdoctoral Fellow (PDF) positions in the area of Internet of Things (IoT) Applications are available. Proactive and highly motivate candidates with outstanding research record and excellent organization and communication skills are invited to apply.
Program Requirements:
- Internship: Successful candidates will spend a 5-month internship with our industrial partners
- Lab Rotation: Through lab rotations, successful candidates have the opportunities to work with our collaborators at the University of Victoria, University of Toronto, University of Alberta and Ryerson University.
- Publication: Successful candidates are expected to disseminate research results in peer-reviewed journals and conferences.
Required Qualifications:
- A recent doctoral degree (Ph.D.) in Computer Science/Engineering or a closely related area
- Previous research experience in the fields of Internet of Things (IoT) Applications and Software Engineering will be an asset
- Fluency in English is a prerequisite
Prospective Graduate Students
Individuals pursuing graduate studies (Master's or Ph.D.) in Software Engineering or Computer Science are welcome to apply. Our trainees will have the opportunity to attend a graduate program in one of our partner universities and work on a research project under the supervision of one or more of our professors.
Program Components:
- Research Project/Dissertation: Successful candidates are required to engage in a research project with defined deliverables in one of the areas covered by this program under one or more of the professors. The deliverables vary across levels but at a minimum include a written dissertation.
- Internship: DITA program has a strong industrial support from various leading industrial partners. All our trainees will be offered internships with high-tech companies through the program where they will spend 20% of their training period/program as interns.
- Professional Skills Training: Professional skills development is one of the main goals of our program. All our trainees will participate in courses, annual workshops and seminars on technical writing, commercialization and intellectual property as well as ethical and legal matters pertaining to IoT technology.
- Interdisciplinary Curriculum: Our trainees will be offered closely-coordinated selection of graduate courses relevant to IoT and its applications.
- Lab Rotation: PhD trainees will spend at least 3 months in a lab other than the home lab and preferably outside their area of expertise to broaden their knowledge and complement their technical expertise.
Future Career Possibilities:
Our trainees will have the opportunity to take positions in industry, universities and government as Canadian leaders in the field of Internet of Things Engineering
Competitive Financial Support:
Our program offers a competitive funding to admitted trainees. Funding acquired from paid internships will be additional to the initial funding dedicated for each trainee.
Required Qualifications:
- A postsecondary degree in computer science, software engineering or a closely related area;
- Fluency in English is a prerequisite;
- Previous research experience in the fields of Internet of Things (IoT) Applications and Software Engineering will be an asset.
For detailed information on the application package and the application procedure, please contact the Admission Office at your desired university.
To Apply:
Send your application package, including your resume and cover letter, to our Program Manager via nikfars@yorku.ca. In your application please note your main area of interest and experience, professor(s) and/or university that you are applying for. Alternatively, you may contact one of the DITA professors if interested in obtaining information about specific projects offered through the program.
Prospective Undergraduate Students
Senior undergraduate students who are interested in Research Assistant (RA) positions at one of our partner labs are encouraged to contact us via email. Please note that these are usually paid positions and the time commitment varies according to the needs of the project.
Research Projects:
Successful candidates will be offered summer Research Assistantship positions to work under the supervision of one of our professors on a research projects in the areas covered by the program.
Required Qualifications:
- Applicants must be enrolled in an undergraduate program (within their program’s 3rd-4th year), in Computer Science or Engineering, Software Engineering, or a closely related area, at one of our partner universities at the time of application;
- Fluency in English is a prerequisite;
- Previous research experience in the fields of Internet of Things (IoT) Applications and Software Engineering will be an asset.
To Apply:
Send your application package, including your resume and cover letter, to our Program Manager via nikfars@yorku.ca. In your application please note your main area of interest and experience, professor(s) and/or university of your interest. Alternatively, you may contact one of the DITA professors if interested in obtaining information about specific projects offered through the program.
