Eindhoven, Netherlands
Internship Explorer
Internship Explorer
As an Embedded Data Logging & Analytics Intern, you are part of the engineering department and responsible for researching, designing, and prototyping a modern vehicle data logging and analysis solution for next‑generation DAF trucks. You will contribute to connected‑vehicle technologies spanning in‑vehicle software, data processing, and optional cloud analytics. * You will research state‑of‑the‑art automotive data logging and analysis solutions for next‑generation vehicles. * You will create a feature concept and high‑level architecture for a CAN‑based data logging function for test or field vehicles. * You will design and implement a CAN data logging prototype in Python or C/C++, including data capture, filtering, decoding, and high‑performance logging. * You will work with industry‑standard technologies such as CAN FD, SAE J1939, ASAM MDF4, and secure cloud telemetry using MQTT over TLS. * You will choose one additional technical direction to further deepen the internship scope: + transition the prototype toward a C/C++ embedded or Linux‑based implementation, or + apply cloud analytics and machine‑learning techniques for time‑series analysis, anomaly detection, or extracting meaningful vehicle insights. * You will test and document both the envisioned ideal solution for next‑generation vehicles and the realized prototype implementation.
