Bachelor / Master Internship: Data Collection & Analytics for next-gen vehicle

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.

• 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 test and document both the envisioned ideal solution for next‑generation vehicles and the realized prototype implementation.

• 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 test and document both the envisioned ideal solution for next‑generation vehicles and the realized prototype implementation.

• 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 test and document both the envisioned ideal solution for next‑generation vehicles and the realized prototype implementation.