The internship focuses on supporting the development of a benchmarking framework for evaluating the temperature dependent performance of GNSS modules across different power consumption modes and operational conditions. The role provides hands on experience with hardware testing, data collection, and the use of AI assisted tools for data analysis and report generation.

Assist in planning and executing performance tests over temperature on GNSS modules under various environmental and in different power modes.

• Support the setup and operation of test equipment, including thermal chambers and power measurement equipment.

• Use Python scripts to automate data extraction, perform basic data processing, and generate preliminary visualizations.

• Collaborate with AI tools to develop and refine Python scripts for testing and data analysis.

• Collaborate in the application of AI based analysis tools to identify trends and extract insights from measurement data.

• Participate in the preparation of technical documentation and reports, using AI supported visualization and summarization tools.

• Work with engineering teams to review results and discuss potential improvements to testing procedures or module performance.