PhD Candidate in Data Science & Machine Learning for EV Charging Infrastructure | Doktorand Data Science & Machine Learning im Bereich Ladeinfrastruktur für Elektroautos (w/m/x)

Job Summary

As a PhD Candidate in Data Science and Machine Learning at BMW Group, you will contribute to the future of electric mobility by developing AI-driven methods for the automated analysis and error diagnosis of EV charging systems. You will work with real-world charging data, communication protocols, and international standards to optimize the charging experience. Your day-to-day responsibilities include designing use cases for anomaly detection, validating models against field data, and developing predictive maintenance measures that integrate into BMW's core systems. You will bridge the gap between academic research and industrial application, collaborating with internal teams and a university partner. This position is ideal for a candidate looking to apply scientific expertise to large-scale, real-world automotive challenges within a supportive mentoring environment. You will have the opportunity to publish your findings and influence international electromobility standards.