TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. For TUD diversity is an essential feature and a quality criterion of an excellent university. Accordingly, we welcome all applicants who would like to commit themselves, their achievements and productivity to the success of the whole institution.

— review of current literature on epilepsy early detection using neural networks
— scientific development and theoretical analysis of Cellular Nonlinear Networks (CellNN)
— evaluation of CellNN performance for different resolutions
— collaboration in integrating software solutions into the hardware platforms of project partners
— publication and presentation of research results

— university degree with excellent academic results in Electrical Engineering, Physics, Computer Science, or a related field
— ability to work independently and conceptually, as well as strong teamwork skills and interest in interdisciplinary, application-oriented research
— very good written and spoken English skills
— basic knowledge in neural networks and machine learning is advantageous

— collaboration in an interdisciplinary and international research environment
— flexible working hours and family-friendly working conditions
— remuneration according to TV-L including the usual public sector social benefits

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.
Please submit your detailed application with the usual documents by March 16, 2026 (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 to ronald.tetzlaff@tu-dresden.de or to:
TU Dresden, Chair of Fundamentals of Electronics, Prof. Dr. phil. nat. Ronald Tetzlaff, 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.

TUD is a founding partner in the DRESDEN-concept alliance.
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.