PhD Thesis “Self-Driving Lab for Investigating the Effects of Accelerated Stress Testing in Water Electrolysis Cells”
AIT Austrian Institute of Technology GmbH
Über die Stelle
The AIT Austrian Institute of Technology is Austria’s largest Research and Technology Organisation (RTO) . We aim to transform scientific excellence into innovation with impact. Together with our partners, we develop technologies and solutions for a sustainable, resilient, and digitalized future, st [...]
Anforderungen
- Master's studies in the field of Mechatronics, Materials Science, Computer Science, Electrical Engineering, Physics, Chemistry, or a related technical field. (Your master’s degree does not need to be completed before your start date, but you should realistically be able to complete it within three months after starting the position.)
- Very good programming skills in Python, including relevant data libraries (e.g., Pandas, NumPy, SciPy) and workflow automation.
- Practical experience or strong interest in laboratory automation, robotics, and hardware-software interfacing (e.g., via REST APIs).
- Hands-on experience or sound theoretical background in machine learning and application of related frameworks (e.g., PyTorch, TensorFlow).
- Solid understanding of water electrolysis or electrochemistry in general as well as familiarity with material characterisation methods would be an advantage.
- Basic understanding of Research Data Management (RDM) and FAIR principles would be an advantage.
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Quelle und Aktualität
Quelle: Offizielles Karriereportal des Arbeitgebers. Zuletzt geprüft: 17.10.2026, 02:32. Die Angaben werden automatisch aufbereitet; Fehler sind möglich. Maßgeblich ist immer die Originalausschreibung.