Posting record
Open 13+ days
- Already up when Ghostless started watching Televic
- Last checked: still up
How we know
It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.
Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Televic, so its true age is longer.
Last checked Nov 3, 2026.
How well do you match?
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Upload your resumeWhat it asks of you
- 30+ years of experience
What the posting discloses
Not stated: Pay, real vacancy, AI screening.
Why these three
Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.
Some employers add pay only on their own site. Check the original posting before you rule it out.
Skills mentioned
About the role
About Televic Rail
With over 30 years of experience in designing, manufacturing and maintaining on-board communication and control systems, Televic Rail is a leading, trusted partner for railway operators and train builders worldwide. Its Passenger Information Systems and Control Systems are high quality, tailor-made solutions that offer the flexibility, user-friendliness and stability that our clients ask for. Our various types of on board control systems such as our bogie monitoring systems are innovative, yet reliable products designed specifically for the railway business. Trains and trams all around the world are equipped with Televic Rail solutions, from New Zealand to Canada, from China to the United States, from India to Belgium, England and France.
Your project
This thesis focuses on improving an embedded bearing fault detection algorithm deployed on the COSAMIRA Edge platform.
The objective is to perform a state-of-the-art analysis of carrier frequency selection techniques (e.g., kurtogram-based methods, Protrugram, Infogram, IESFOgram etc...”) and evaluate their suitability for embedded implementation.
Main challenges include
- Reliable automatic selection of the optimal demodulation band
- Robustness to speed variation and operational noise
- Low computational and memory footprint
- Real-time feasibility on embedded hardware
- Clean and efficient C++ implementation
- The outcome will be an adaptive, embedded-ready carrier frequency selection module enabling more reliable and earlier bearing fault detection.
Extra info
- Level: Academic Master, Master
- Domains: Electronics / Hardware, Embedded Software
- Type of work: Research: 50% - Implementation: 30% - Experimentation: 20%
- Location: Televic
- Number of students: 1
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