How do I apply for the Research Assistant position at Technische Universität Berlin and track my application?

We provide a direct link to the official application portal. You can apply directly here . Additionally, you can easily track this and other applications by clicking the bookmark icon to save it to your YGI Kanban board .

Is the internship at Technische Universität Berlin paid and what compensation can candidates expect?

Yes, this is a paid internship opportunity. Exact compensation details are typically finalized during the company interview process.

What are the working arrangements and expected duration for the Research Assistant role?

This position is a full-time, structured as a not disclosed role.

What educational background or degree level is required for the Research Assistant at Technische Universität Berlin?

Candidates are generally expected to be holding or pursuing the following degree levels: Master.

Does Technische Universität Berlin provide visa sponsorship or assistance for international applicants?

Regarding visa assistance and sponsorship for this role, the official status is currently listed as: Not disclosed.

Research Assistant

Technische Universität Berlin

Found 2 weeks ago

Location

Berlin, Germany

Time

Full-time

Work Mode

Not disclosed

Salary

Salary grade 13 TV-L Berliner Hochschulen

Visa Help

Not disclosed

Last Verified

2 weeks ago

Education

Master

Skills & Qualifications

Technical Skills

Electrical/Computer Engineering
Computer Science
Mathematics/ Applied Mathematics
Physics
artificial intelligence / deep learning methods, software, and techniques
design of deep neural network structures and training strategies for signal-processing related tasks
6G wireless technology
Physical Layer Waveform Design
Multi-Dimensional Signal Processing
Advanced Multiple Antenna Technologies
Electromagnetic Signal Processing
reconfigurable electromagnetic metasurfaces
Near‑Field Channel Estimation, Positioning, Sensing
Distributed and Cell-free Integrated Sensing, RF-Imaging, and Communications

Soft Skills

enriching interdisciplinary environment
significant potential for broad impact
independent research
willingness to acquire the respective missing language skills

Job Description

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. The position is funded by the European Project MULTIPLY-6G, focusing on advanced waveform and protocol design for 6G wireless networks. Developing of independent research under the supervision of Prof. Caire in the framework of the EU-funded project MULTIPLY-6G. The focus on 6G wireless technology. The specific topics of research include: 1) Physical Layer Waveform Design for Communications and Sensing based on Multi-Dimensional Signal Processing (antennas, delay-Doppler / time-frequency domains); 2) Advanced Multiple Antenna Technologies Based on Electromagnetic Signal Processing, including reconfigurable electromagnetic metasurfaces; 3) Near‑Field Channel Estimation, Positioning, Sensing; 4) Distributed and Cell-free Integrated Sensing, RF-Imaging, and Communications.

Requirements

Successfully completed scientific university degree (Master, Diplom or equivalent) in a field of Electrical/Computer Engineering, Computer Science, Mathematics/ Applied Mathematics, Physics
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.

Software Engineering

AI/ML/GenAI Engineering

Languages

German
English

Nice to Haves

experience with artificial intelligence / deep learning methods, software, and techniques
know-how and experience in design of deep neural network structures and training strategies for signal-processing related tasks

Apply Now

6Open Positions