Aktuelle Jobs im Zusammenhang mit PhD Position in “AI-Enhanced Teleoperation for Safe and Transparent Remote Robot Control” - Munich - Technical University of Munich
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TUM-LSY Open PhD Positions
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Teleoperation-Connectivity Software Engineer
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Munich, Deutschland Technical University of Munich VollzeitPostdoctoral Position in “Robot motion and control algorithms for deformable objects manipulation”, Munich Institute of Robotics and Machine Intelligence (MIRMI), Technical University of Munich – Garmisch-Partenkirchen Campus 11.12., Wissenschaftliches Personal We are seeking an outstanding candidate for a Postdoctoral position in the field of robot...
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Senior Software Engineer for Robot Control
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Munich, Bayern, Deutschland Intrinsic VollzeitIntrinsic is Alphabet's bet aiming to reimagine the potential of industrial robotics. Our team believes that advances in AI, perception and simulation will redefine what's possible for industrial robotics in the near future – with software and data at the core. Our mission is to make industrial robotics intelligent, accessible, and usable for millions...
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Teleoperation Training Associate
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TUM-LSY Open Postdoctoral Position
Vor 6 Tagen
Munich, Deutschland Technical University of Munich VollzeitTUM-LSY Open Postdoctoral Position (m/w/d) 22.12., Wissenschaftliches Personal We are an interdisciplinary team at the Chair of Safety, Performance and Reliability for Learning Systems, and we are looking for exceptional postdoctoral researchers to join our team. The postdoctoral positions will be full-time (%, TV-L E13). We are committed to fostering a...
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Robotics AI Engineer
vor 2 Wochen
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PhD Position in “AI-Enhanced Teleoperation for Safe and Transparent Remote Robot Control”
vor 9 Stunden
PhD Position in “AI-Enhanced Teleoperation for Safe and Transparent Remote Robot Control” 29.01., Academic staff We are seeking an exceptional and highly motivated PhD candidate to join our team at TUM MIRMI for a PhD position in “AI-Enhanced Teleoperation for Safe and Transparent Remote Robot Control”. About us The TUM Munich Institute of Robotics and Machine Intelligence (MIRMI) is a globally visible, interdisciplinary research center dedicated to machine intelligence—the integration of robotics, artificial intelligence, and perception. MIRMI’s research addresses key societal challenges across its central innovation sectors: the future of health, work, environment, and mobility. More than 70 professors from multiple TUM faculties collaborate within MIRMI, fostering an exceptional environment for cutting-edge, high-impact research. Position Overview We are seeking an exceptional and highly motivated PhD candidate to join our team at MIRMI. This position offers a unique opportunity to conduct cutting-edge research in safe, transparent, and reliable remote robotic control under network uncertainties, with a strong focus on safety-critical bilateral teleoperation (e.g., tele-surgery). The doctoral research will focus on the development of fault-tolerant and adaptive control architectures, leveraging a principled combination of passivity-based control methods, machine learning, and human-in-the-loop systems to enable robust teleoperation in uncertain and delayed communication environments. Key Research Responsibilities Conduct original PhD research on shared and remote robotic control under uncertain communication conditions, integrating passivity-based control, machine learning, and human-centered control paradigms. Design and implement algorithms for shared control between human operators and autonomous systems to improve safety, transparency, and performance in teleoperation. Implement and validate methods on real robotic hardware and experimental teleoperation setups. Actively collaborate with industrial and academic partners involved in the project. Publish research outcomes in leading international robotics conferences and journals. Participate in project meetings, dissemination activities, and collaborative research initiatives. Requirements A Master’s degree (or equivalent) in Robotics, Mechanical Engineering, Electrical Engineering, Computer Engineering, or a closely related discipline. Strong research interest in telerobotics, shared control, human–robot interaction, or networked control systems. Experience with robotic hardware (e.g., robot arms) and proficiency in C++ and/or Python, ROS 2, and MATLAB. Solid background in control theory and/or machine learning is highly desirable. Excellent command of English (written and spoken, at least according to level C2); German language skills are a plus but not required. High motivation, creativity, and the ability to work both independently and within an international, interdisciplinary research team. What We Offer A stimulating and international research environment with access to state-of-the-art robotic platforms and laboratories. The opportunity to pursue high-impact PhD research at the forefront of robotics and artificial intelligence. Close collaboration with leading academic researchers, innovative industry partners, and international networks. The position is initially limited to a two year term. Excellent conditions for professional development and academic career progression. Employment and remuneration according to the Collective Agreement for the Civil Service of the Länder (TV-L). Equal Opportunity Statement TUM is committed to increasing the proportion of women in its workforce and explicitly encourages applications from qualified women. The position is suitable for disabled persons. Applicants with disabilities will be given preference in the case of generally equivalent suitability, aptitude, and professional performance. International applicants are strongly encouraged to apply. Application Process We look forward to receiving your complete application. Please upload them using the subject line “84RSIPhD GAP” via the following link: 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.
