Berlin University Alliance Jobs

Research in the field of communication networks in the DFG project DyMoNet. Development of concepts and algorithms for mobile base stations to optimise e.g. coverage, throughput, resilience. Performance application (analytical, simulative, experimental). The possibility of a doctorate is given.

• Successfully completed academic university degree (Master's degree, diploma or equivalent) in computer science, computer engineering, electrical engineering or a related field.
• Outstanding first achievements (e.g. publications) or very good degree
• Sound knowledge of communication networks Excellent programming skills (Phython, C++, Matlab)
• Very good knowledge of Linux
• Strong mathematical background
• The ability to teach in German and/or in English is required; willingness to acquire the respective missing language skills
• Enjoyment of cutting-edge research, creativity and perseverance as well as the ability to work in a team

Please send your application with the reference number and the usual documents (one file max. 5 MB) only via email to petra.hutt@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/ or quick access 214041.

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 Technische Universität Berlin values the diversity of its members and is committed to the goals of equal opportunities.

Technische Universität Berlin - Die Präsidentin - Fakultät IV, Institut für Telekommunikationssysteme, FG Telekommunikationsnetze, Prof. Dr. Dressler, Sekr. FT 5, Einsteinufer 25, 10587 Berlin