All highly-motivated students are encouraged to directly contact one of NSERC CREATE TOP-SET’s co-investigators. The program aims to include diverse participants from a wide range of backgrounds, emphasizing recruitment of Indigenous candidates, women and other underrepresented minorities. Students in the areas of physics, computer science, electrical engineering, mechanical engineering, material science and management are invited to apply.

Specific positions may appear on this page from time to time.

Funding available for postdoctoral fellows

Funding is currently available for postdoctoral fellows as part of the NSERC CREATE TOP-SET program.  Applicants should consult the Faculty page to find an appropriate supervisor and contact him or her directly by e-mailing a CV and transcripts.  We thank all applicants for their interest however, only those retained for an interview will be contacted.

MASc position currently available at the University of Ottawa

Drs. Melike Erol-Kantarci and Karin Hinzer are looking for an MASc. student to work on device-to-device (D2D) communications to meet the real-time networking needs of standards-compliant high-efficiency photovoltaic (HEPV) systems.

PV systems are intermittent power systems and they must be synchronized with demand. This calls for robust, real-time D2D communications. The student will focus on optimal resource allocation problem in 5G wireless networks with large-scale D2D communications. The system under consideration will be a campus-wide microgrid with multiple PV installations and several loads. Microgrids can work in grid-connected mode or islanded-mode. In the islanded-mode they need to be able to balance supply and demand using local generators. The real-time nature of power flow in microgrids puts the communication network under pressure. This pressure escalates as the number of connected devices increase as is the case with large-scale D2D communications. The student will have access to real data collected from various sources including the PV generation output as well as the loads on the campus microgrid. These data will be replayed over simulators in order to generate realistic network traffic scenarios. The student will work on developing algorithms to optimally allocate radio resources and power for the connected devices, as well as provide Quality of Service through service differentiation.

To apply, please send your CV and transcript to We thank all applicants for their interest however, only those retained for an interview will be contacted.