• The selected candidates will have opportunities to work in an enriching interdisciplinary environment, with significant potential for broad impact in terms of technology development, industry involvement, and educational initiatives.
• The project aims to develop novel architectures for signal domain processing in the electromagnetic domain by exploiting the unique physical properties of reconfigurable electromagnetic metasurfaces. Subtasks include schemes and algorithms for integrated sensing and communication (ISAC), and exploitation of controllable metasurfaces for high dimensional multiuser MIMO schemes, including innovative metasurface-based aperture antennas and "holographic’” MIMO. The mathematical/theoretical background is founded on information theory and statistical signal processing.

There is an opportunity to pursue a doctoral degree.

• Successfully completed scientific university degree (Master, Diplom or equivalent) in a field of Electrical/Computer Engineering, Computer Science, Mathematics/ Applied Mathematics, Physics with specific focus on electromagnetic fields and electromagnetic metasurfaces. Exceptionally, other MS-level degrees may be considered as long as they provide relevant background to the research topics.
• A specific experience with artificial intelligence / deep learning methods, software, and techniques, is particularly appreciated, especially know-how and experience in design of deep neural network structures and training strategies for signal-processing related tasks.
• Good knowledge of German and/or English required; willingness to acquire the respective missing language skills.

Please send your written application, quoting the reference number and including the usual documents, by email to: jana.hantke@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.