PhD Student: Biofeedback in SCADA, Substation Automation, and Microgrids | Doktorand (w/m/d): Biofeedback im Bereich SCADA, Stationsautomatisierung, Microgrid und...
Siemens AG
Job Summary
This part-time (20 hours/week) doctoral position at Siemens in Nuremberg focuses on the intersection of energy systems and human factors. You will design and integrate biofeedback-supported testing for SCADA systems and training environments. Your daily work involves analyzing multimodal physiological data (such as EEG and ECG) and developing neuropsychological methods to improve training systems for microgrids and substation automation. A key component of the role is developing a prototype for biofeedback-based assistance functions, which you will test iteratively within modern software environments like the Metaverse or Electrification X. Working interdisiplinarily with experts in energy, IT, and human factors research, you will bridge the gap between academic research and practical industrial application. This is a unique opportunity to shape the future of energy grid management through innovative AI and sensor-driven assistance systems.
Required Skills
Education
Master's degree (or currently enrolled and pursuing a PhD) in Medical Engineering, Data Science, Computer Science, Artificial Intelligence, or a related technical field.
Experience
- Professional experience in analyzing multimodal data such as EEG, ECG, or sensor data
- Practical experience with ML/DL frameworks like PyTorch or TensorFlow
- Experience in developing end-to-end AI pipelines and feature engineering
- Experience in interdisciplinary research environments involving IT or energy systems
Languages
Additional
- Location: Nuremberg, Germany; Part-time commitment (20 hours per week); Fixed-term contract for the duration of the doctoral project.
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