What they're looking for
- Support the NPI team with lab operations, test-bed setup, and data analysis.
- Utilize AI-powered tools for efficient lab infrastructure management and test-bed deployment.
- Apply basic AI-assisted tools for data cleansing, log parsing, and document summarization.
- Collaborate with diverse team members to deliver assigned engineering tasks.
- Assist in organizing and maintaining hardware assets.
The full posting
Published by Nokia. Original posting (opens in a new tab)
As a Lab Intern, you will be an integral part of our FN New Product Introduction (NPI) team, working on innovative access network technologies. This internship provides a unique opportunity to gain practical experience in a dynamic telecom environment, utilizing cloud-native systems and AI-powered tools. You will collaborate with a cross-functional team, contributing to lab operations, test-bed setup, and data analysis, all while enhancing your skills in data handling and documentation.
• Support the NPI team with lab operations, test-bed setup, and data analysis.
• Utilize AI-powered tools for efficient lab infrastructure management and test-bed deployment.
• Apply basic AI-assisted tools for data cleansing, log parsing, and document summarization.
• Collaborate with diverse team members to deliver assigned engineering tasks.
• Assist in organizing and maintaining hardware assets.
• Develop skills in data handling and lab documentation with attention to detail.
• Follow technical guidance and contribute to a collaborative team environment.
• Commit to a minimum of 16 hours per week during the internship period.
• Bachelor's or Master's student in Data Analytics, Computer Science, Telecommunications, or related fields.
• Practical knowledge of the Linux operating system is essential.
• Basic understanding of AI concepts and its application in data processing and log analysis.
• Foundational knowledge of computer and networking fundamentals is required.
• Strong logical thinking skills and attention to detail for accurate data handling.
• Self-motivation, teamwork, and effective communication skills are key.
• Previous experience in lab environments, technical projects, or PoC support is an asset.
• Familiarity with networking concepts (TCP/IP, Ethernet, routing & switching) is preferred.
• Basic understanding of container concepts (Docker/Kubernetes) is a plus.
• Ability to commit to the internship for the required duration.
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