Postdoc Position in Safe and Robust Remote Robot Control

Updated: 1 day ago

11.01.2024, Wissenschaftliches Personal

The Munich Institute of Robotics and Machine Intelligence (MIRMI) at the Technical University of Munich is looking for an outstanding applicant for a postdoc position in Remote Robot Control under the supervision of Prof. Sami Haddadin.

About us

Located in the prosperous capital of Bavaria and home to over 39000 students, the Technical University of Munich (TUM) is one of the world’s top universities (top 4 European technical universities in The World University Ranking, top 50 in Shanghai Ranking, top 10 in Global University Employability Ranking, etc.). It is committed to excellence in research and teaching, interdisciplinary education, and the active promotion of promising young scientists. TUM benefits from the healthy mix of companies and startups of all sizes headquartered in the region and is tightly connected to regional research hospitals. The university also forges strong links with companies and scientific institutions across the world.

The TUM Munich Institute of Robotics and Machine Intelligence (MIRMI) is a globally visible interdisciplinary research center for machine intelligence, which is the integration of robotics, artificial intelligence, and perception. Its three central innovation sectors are the future of health, the future of work, the future of the environment, and the future of mobility. More than 50 professors from various TUM faculties cooperate within the framework of MIRMI.

Description

We are looking for an outstanding and highly motivated applicant to join our team at MIRMI to pursue the research and development of safe and robust remote robot controllers for our tele-surgical platform. The system consists of three robot arms on the patient site and two haptic consoles on the surgeon site. The ultimate goal is to develop a highly visio-tactile transparent tele-surgical platform that benefits from the next generation of communication protocols. The performance of communication channels in remote surgery and associated control issues are studied.  The controller needs to be robust and fault-tolerant and handle the possible jammings in the communication to maintain the continuous operation of robots. The proposed approaches are implemented in our tele-surgical platform as well as other available industrial platforms. Along with this research, we would like to exploit high-bandwidth and low-latency communication networks to transfer essentially part or all of resource-intense planning, learning, and control computation to the edge and beyond. This transfer will allow the robots to be significantly lighter, more modular, and more energy efficient.

The position stems out of the large scale 6G-life project and will give you a unique opportunity to work in the field of robotics that operates with 6G communication technologies for both healthcare and industrial settings. Additionally, the methods and findings developed throughout this work will be scalable and applicable to other research projects in MIRMI. You will work closely with supervisors and researchers from MIRMI (in both Munich and Garmisch-Partenkirchen Campuses) and report the system design and developments to our project officers and founders.  The research findings are expected to be published in leading journals and conferences in the robotics community.

Requirements

Please consider applying if you have a strong background in robotics and control engineering. We especially seek individuals with excellent background, knowledge and/or interest in the following areas:

- Recently graduated PhD in mechanical/electrical engineering, computer science, or a comparable field,

- Experience in teleoperation and delay compensation algorithms, Networked robots, Stability analysis and passivity-based control,

- Experience with MATLAB Simulink, C++/Python and ROS,

- Hands-on experience with physical robotics systems

- Fluency in spoken and written English, German is a plus,

- High motivation and willingness to work in an international and interdisciplinary team

How to apply?

The following documents are needed for applications:

-  a motivation letter (1-3 pages) describing (i) yourself, (ii) your research interests, (iii) your qualifications, (iv) your future career goals and research focus and (v) why you would be a suitable candidate

-  a detailed CV

-  academic transcripts from your PhD and Master’s degrees

-  email addresses of at least two references

We look forward to receiving your detailed application documents. Please upload them with the subject “26RSIPostdoc” via the following link: here The application deadline for this position will be open until the position is filled. Only shortlisted candidates will be notified.

TUM has been pursuing the strategic goal of substantially increasing the diversity of its staff. As an equal opportunity and affirmative action employer, TUM explicitly encourages nominations of and applications from women as well as from all others who would bring additional diversity dimensions to the university’s research and teaching strategies. Preference will be given to disabled candidates with equal qualifications. International candidates are highly encouraged to apply.

In case of questions, please contact [email protected]

Technische Universität München

Munich Institute of Robotics and Machine Intelligence

Georg-Brauchle-Ring 60-62

80992 München


The position is suitable for disabled persons. Disabled applicants will be given preference in case of generally equivalent suitability, aptitude and professional performance.


Data Protection Information:
When you apply for a position with the Technical University of Munich (TUM), you are submitting personal information. With regard to personal information, please take note of the Datenschutzhinweise gemäß Art. 13 Datenschutz-Grundverordnung (DSGVO) zur Erhebung und Verarbeitung von personenbezogenen Daten im Rahmen Ihrer Bewerbung. (data protection information on collecting and processing personal data contained in your application in accordance with Art. 13 of the General Data Protection Regulation (GDPR)). By submitting your application, you confirm that you have acknowledged the above data protection information of TUM.

Kontakt: [email protected]



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