Publisher
source

University of Ottawa

Postdoc, PhD, and MSc Opening in 5G-Enabled UAV Detection and Machine Learning 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
Mathematics
Wireless Communication
Software-defined Radio
Robotics
Machine learning

About this position

Open research opportunity at the University of Ottawa in 5G communications, machine learning, signal processing, and UAV/counter-drone systems.

The post advertises a collaborative project in the EECS School focused on developing machine learning models to detect intruder UAVs communicating through a 5G network. The work uses software-defined radio and is connected to the CARG AI4UAV group, which works on resilient AI for counter-UAS, sensor fusion, payload detection, tracking, and detection/classification of 5G/LTE unmanned aerial systems.

Openings are mentioned for Postdoc, PhD, and MSc candidates. Applicants should have a STEM degree obtained within the past 3 years, evidence of research productivity, and relevant research or industrial experience. A good understanding of 5G communication systems and signal processing is desirable, along with strong software skills and good oral/written English.

The position is open to candidates of any nationality, with preference for Canadian citizens and permanent residents. The post says the opportunity remains open until suitable candidates are found.

To apply, send a CV and cover letter to Dr. Miodrag Bolic at [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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