Rese­arch Assist­ant

Research for the DFG project "Motion Coordination for Heterogeneous Aerial Swarms in Congested Environments", i.e. in the field of multi-robot systems with a particular focus on combined decision making and controls for highly agile systems such as multirotors. The algorithm design will use and improve tools from informed search, imitation learning, and trajectory optimization.

Specific tasks include:

• Literature review and validation/implementation of existing scientific methods.
• Conception and validation of novel algorithms for multi-robot coordination.
• Planning and execution of experiments with multirotor teams in an indoor flight space.
• Publication and presentation of research results in scientific journals, at conferences, and at workshops.
• Mentoring of Bachelor's and Master's students who work on related topics.

The candidate will have the opportunity to participate in research colloquia, lecture series, and workshops, and may supervise student employees working on the project. Travel once or twice per year to international conferences to share and discuss research findings is expected. PhD preparation is possible. Technische Universität Berlin is a vibrant university in the heart of Berlin, Germany with one of the highest proportions of international students (28%) in Germany. The research is conducted at the Institute of Computer Engineering and Microelectronics, as part of a new research group that focuses on multi-robot systems, headed by Dr. Wolfgang Hönig and funded by the German Research Foundation (DFG) and Germanys tenure-track program. TU Berlin has several other leading robotics groups (headed by Prof. Marc Toussaint, Prof. Oliver Brock, Prof. Guillermo Gallego, and Prof. Jörg Raisch) for excellent local collaboration opportunities. We are a fun, open-minded, and highly diverse group and use modern, agile development practices for our research. More information and related publications are available at https://imrclab.github.io/.

• Successfully completed university degree (Master, Diplom or equivalent) in robotics, computer science, electrical engineering, mechanical engineering, or a related discipline with outstanding performance
• Excellent previous work (e.g. in the form of final projects or publications) in the field of robotics, machine learning
  optimization or AI planning
• Outstanding analytical skills (such as linear algebra, calculus, AI theory)
• Strong programming skills, C++, Python, or Rust
• Good knowledge of German and/or English required; willingness to acquire the respective missing language skills
• Knowledge of machine learning, trajectory optimization, informed search, or planning desirable
• Experience with multi-agent or multi-robot systems desirable
• Experience with uncrewed aerial vehicles (e.g., Crazyflie, PX4, Arducopter) or other robotic systems desirable
• Working knowledge of Linux desirable
• Experience with the Robot Operating System (ROS) desirable
• Experience with embedded systems (e.g., firmware development in C) desirable

Please send your application in English with the following documents as a single PDF exclusively by e-mail to Dr. Wolfgang Hönig at office@mrs.tu-berlin.de, quoting the reference number.

• Cover letter with your interest and experience related to the position
• Curriculum vitae
• Transcripts (BS and MS)
• Writing sample (e.g., BS thesis, MS thesis, or other authored manuscripts)
• Programming sample (e.g., link to github)
• Names and email addresses of up to two qualified persons who are willing to provide a reference on request

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.