Berlin University Alliance Jobs

Field of activity: Research and development tasks within the DFG project " Generalized Shaping and Precoding for Flexible Adaptation in Dynamic Optical Networks" (GAIN) in cooperation with the Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute, HHI.

Activities include research and development in the field of optical communications with a focus on digital signal processing, coded modulation, and telemetry. This includes the study and development of methods for cross-layer optimization in optical communication networks, as well as the design and execution of experiments and supporting numerical studies. In addition, the tasks include the presentation of R&D results in the form of project reports, presentations, and journal articles, as well as the supervision of Master's and Bachelor's theses. There is an opportunity to pursue a doctoral degree.

• Successfully completed university degree (master, diplom or equivalent) in the field of electrical engineering, communications engineering or related fields.
• Very good knowledge of optical communications
• Experience in characterization and modeling of optical communication systems.
• Experience in programming with Matlab and/or C/C++
• Experience with software development and version control software such as Gitlab
• Fluent in English
• Good German language skills or the willingness to learn them
• Team player with a structured approach and the ability to independently develop ideas for new research activities

The following additional knowledge would be positive:

• Good knowledge of DSP algorithms for digital coherent transmission.
• Experience with VPIphotonics / VPItransmissionMaker

Please send your application with the reference number and the usual documents (one file max. 5 MB) only via email to Prof. Dr. Freund: elzem.kaya@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 TU Berlin values the diversity of its members and is committed to the goals of equal opportunities.