• Contribution to the DFG project "Sensor-integrating elastomer bearing (SiEla) with combined sensor-generator-system" within DFG-SPP 2305
• Design and embedded implementation of an energy- and compute-adaptive signal-processing framework for embedded microcontrollers (e.g., STM32, embedded C)
• Realization of wireless data transfer (e.g., Bluetooth/Zigbee) as well as firmware-update capability incl. cyber security
• Close interdisciplinary coordination with project partner Mechatronic Systems Laboratory (Prof. Maas)
• Contribution to building, commissioning, and experimentally validating the system prototype
• Implementation of quality-assured and documented program code
• Publication of scientific results in international journals and at conferences
• Supervision of student theses within the project scope

• Successfully completed scientific university degree (Master, Diplom or equivalent) in engineering sciences (mechanical engineering, electrical engineering, mechatronics, or comparable), applied mathematics, or physics
• Proven practical experience in embedded software development (C/C++) on microcontrollers (e.g., STM32 / ARM Cortex-M)
• Solid theoretical knowledge of vibration theory, structural dynamics, or signal analysis (e.g., through degree focus or thesis)
• Good programming experience in Python as well as with Git-based version control
• Practical experience with laboratory measurement equipment, development environments (e.g., dSPACE), or experimental test-rig setup
• Independent, structured, and results-oriented way of working desirable
• Strong teamwork skills for close, ongoing collaboration with the partner group (Mechatronic Systems Laboratory) desirable
• Very good German and English language skills, written and spoken
• Experience with wireless communication protocols (e.g., Bluetooth, Zigbee) and firmware-update mechanisms desirable

• An inclusive and appreciative working atmosphere in a committed and diverse team
• Flexible working hours and mobile work supporting work-life balance

Please send your application with the reference number and the usual documents by E-Mail to Prof. Dr. Merten Stender via bewerbungen@cpsme.tu-berlin.de.

By submitting your application via email you consent to having your data electronically processed and saved. Please note that we do not provide a guaranty for the protection of your personal data when submitted as unprotected file. Please find our data protection notice acc. DSGVO (General Data Protection Regulation) at the TU staff department homepage: https://www.abt2-t.tu-berlin.de/menue/themen_a_z/datenschutzerklaerung/.

To ensure equal opportunities between women and men, applications by women with the required qualifications are explicitly desired. Qualified individuals with disabilities will be favored. The TU Berlin values the diversity of its members and is committed to the goals of equal opportunities. Applications from people of all nationalities and with a migration background are very welcome.