• research and development in designing and programming fied programmable gate arrays (FPGAs) for accelerating artificial intelligence (AI) algorithms.
• contributing, administrating and reporting in (inter-)national research and development projects
• presenting results at international conferences
• close cooperation with academic and industrial cooperation partners

• excellent university degree (M.Sc., Diploma) in either computer engineering, computer science, electrical engineering or any related natural science
• very good programming skills in C, C++
• fluency in English, knowledge of German would be a plus
• high self-motivation, commitment, and flexibility as well as the ability to work in and contribute to an international team
• a strong background in one or more of the following areas: field programmable gate arrays (FPGAs), hardware description languages (e.g. VHDL or Verilog), high-level synthesis (HLS), artificial intelligence and/or machine learning

We offer you an excellent working environment in an international team with many career development possibilities.

TUD strives to employ more women in academia and research. We therefore expressly encourage women to apply. The University is a certified family-friendly university. We welcome applications from candidates with disabilities. If multiple candidates prove to be equally qualified, those with disabilities or with equivalent status pursuant to the German Social Code IX (SGB IX) will receive priority for employment.
Qualified candidates are requested to submit their application including a CV, a brief proposal describing their research experience and interests and an official transcript of coursework and grades by September 3, 2025 (stamped arrival date of the university central mail service or the time stamp on the email server of TUD applies), preferably via the TUD SecureMail Portal https://securemail.tu-dresden.de by sending it as a single pdf file using the reference number “ADS_25-02” to ads@mailbox.tu-dresden.de or to: TU Dresden, Professur für Adaptive Dynamische Systeme, Frau Prof. Dr.-Ing. Diana Göhringer, Helmholtzstr. 10, 01069 Dresden, Germany. Please submit copies only, as your application will not be returned to you. Expenses incurred in attending interviews cannot be reimbursed.

Reference to data protection: Your data protection rights, the purpose for which your data will be processed, as well as further information about data protection is available to you on the website: https://tu-dresden.de/karriere/datenschutzhinweis.