Project Difficulty
Accessible Audience: Computer Science (CS) / Electrical Engineering (EE)
Description
This exciting opportunity invites master students to create and submit a comprehensive learning path focused on any aspect of Arm technology. Participants will have the chance to showcase their expertise, contribute to the academic community, and potentially publish their work for a wider audience. Learning paths are structured tutorials that guide learners through a series of topics and skills. For example, a project could involve developing a learning path on Arm-based embedded systems, culminating in a practical demonstration of a working prototype, such as a simple temperature monitoring system using a basic microcontroller and a few sensors. This project can be easily recreated with minimal hardware and software access. We look forward to seeing your innovative and insightful submissions!
Estimated Project Duration
- 1-4 weeks for 1-3 participants
Hardware / Software Requirements
- Computer with Internet Connectivity
Resources
Benefits
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Standout projects could be internally referred for relevant positions at Arm!
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If your submission is approved, you will receive a recognised badge that you can list on your CV and shared on LinkedIn. A great way to stand out from the crowd!
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It’s a great way to demonstrate your initiative and commitment to your field.
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It offers the opportunity to learn valuable skills that are highly relevant to a successful career at Arm!
