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M. Bolic

1 month ago

Postdoc, PhD, and MSc Positions in 5G, Machine Learning, and UAV Detection University of Ottawa in United States

Degree Level

Master's, PhD, Postdoc

Field of study

Computer Science

Funding

Full funding available
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Country

United States

University

University of Ottawa

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Keywords

Computer Science
Signal Processing
Electrical Engineering
Information Technology
Wireless Communication
Software-defined Radio
Robotics
Machine learning

About this position

Computational Analysis and Acceleration Research Group (CARG) at the University of Ottawa is recruiting for postdoc, PhD, and MSc positions focused on 5G communication systems, machine learning, signal processing, software-defined radio, and UAV detection.

The project aims to develop machine learning models to detect intruder UAVs that communicate through a 5G network. The work is part of a multidisciplinary effort involving scientists from the University of Ottawa, research centers, and industry partners. The broader CARG AI4UAV research program also covers counter-UAS systems, sensor fusion, payload detection, tracking, and resilient AI for drone-related applications.

Applicants should have a STEM degree obtained within the past 3 years and evidence of research productivity. Relevant research or industrial experience is expected. A good understanding of 5G communication systems and signal processing is desirable, along with strong software skills and good oral and written English.

The positions are open to applicants of any nationality, with preference given to Canadian citizens and permanent residents. The opportunity remains open until suitable candidates are found.

To apply, send a CV and cover letter to [email protected].

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

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