Within a third-party funded research project the TU Berlin will develop an embedded hardware platform that enables simultaneous signal stimulation and processing of up to 256 analogue modulated signals with the help of artificial intelligence.

The work at TU Berlin focusses in particular on researching and development of embedded computer architectures for executing and accelerating AI algorithms.

• successfully completed university degree (Master, Diplom or equivalent) in computation engineering science or electrical engineering
• Knowledge and experience with
  a) Programming of the real-time operating system Zephyr and of real-time operating systems for embedded systems (RTOS, embedded Linux)
  b) Implementation of wireless data transmission solutions (full-stack development Bluetooth, LoRa)
  c) Selection and application of AI methods specifically for embedded systems
  d) Use and application of multi-sensor technology in industrial environments (production machinery, robotics, industrial intra-process logistics)
• Good German and/or English language skills required; willingness to acquire the respective missing language skills
• Experience with
  (a) analog and digital circuit design desirable
  (b) description and synthesis of FPGAs desirable
• Ability to think ahead and find uncomplicated solutions desirable
• Structured and independent way of working desirable
• Ability to work in a team, willingness to take responsibility desirable

• A research-intensive and innovative environment
• with an unique mix of dynamics, flexibility and teamwork
• The opportunity to work independently
• with an excellent equipment
• Opportunity to pursue a doctorate

Please send your application with the reference number and the usual documents (one file max. 5 MB) only via email to personal@tmp.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.