Research Assistant

• Design, analysis, and development of novel methods at the intersection of communications engineering, machine learning, and intelligent robotic systems
• Research and development of AI-based approaches for perception, representation learning, decision-making, and communication in autonomous robotic systems
• Investigation and adaptation of communication-theoretic and signal processing methods for cooperative, networked, and embodied robotic platforms
• Development of simulation environments for the design, training, and evaluation of intelligent robotic systems
• Software development, implementation, testing, and validation of AI- and communication-based algorithms in both simulation and real-world robotic environments
• Collaboration with interdisciplinary research teams and Startups in the design, implementation, and experimental evaluation of integrated communication and robotics systems
• Documentation and publication of research results, as well as presentation of findings at international conferences and scientific events

• Successfully completed university degree (Master, Diplom or equivalent) in communications engineering, electrical engineering, computer science, robotics, artificial intelligence, applied mathematics, or a related discipline
• Solid theoretical background in communication theory, signal processing, and machine learning
• Good understanding of modern AI methods, including representation learning and deep learning
• Knowledge of the fundamentals of AI-based robotics, including perception, localization, planning, or autonomous decision-making
• Experience in software development using Python and/or C/C++, following good software engineering practices
• Good knowledge of German and/or English required; willingness to acquire the respective missing language skills.
• Experience with robotic software frameworks (e.g., ROS/ROS 2) and simulation environments such as Gazebo, Isaac Sim, Omniverse, or similar platforms is desirable
• Experience with hardware integration, including sensors, actuators, embedded systems, and wireless communication technologies is desirable
• Practical experience in developing, testing, and validating robotic systems in laboratory or real-world environments is desirable
• Knowledge of wireless communication systems, distributed sensing, edge AI, or multi-agent robotic systems is desirable
• Experience with GPU programming, high-performance computing, or embedded AI platforms is desirable
• Publication record in relevant fields such as communications engineering, robotics, machine learning, or artificial intelligence is desirable

Please send your application with the reference number and the usual documents only by email (compiled into a single PDF document, max. 5 MB) to Prof. Dr.-Ing. Slawomir Stanczak via ine.scharse@campus.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.