Researcher on Network-Centric Distributed Cognitive Robotic Systems
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Job description
- Design and develop novel architectures for distributed cognitive robotic systems operating across edge-cloud infrastructures and heterogeneous robot platforms.
- Investigate semantic world modelling, distributed probabilistic reasoning, and collaborative perception among robots.
- Develop innovative task allocation, coalition formation, and distributed planning mechanisms for robotic missions
- Design event-driven communication and coordination protocols enabling scalable robot collaboration under bandwidth and latency constraints.
- Explore learning-based approaches for multi-agent coordination, adaptive communication, continual learning, and autonomous decision making.
- Develop digital twin frameworks integrating simulation environments and real robotic deployments.
- Prototype and experimentally validate proposed solutions using robotic simulation platforms (i.e., Isaac Sim, Gazebo), edge-cloud infrastructures, and real robotic systems.
- Collaborate closely with researchers working on robotics, distributed systems, AI, cloud-edge computing, communication networks, and autonomous systems.
- Participate in interdisciplinary research projects involving both academic and industrial partners.
- Publish research findings in leading conferences and journals in robotics, AI, networking, distributed systems, and autonomous systems.
- Contribute to research project planning, execution, reporting, and proposal preparation.
- Assist in the supervision of student projects and junior researchers.
- Support teaching activities in areas related to artificial intelligence, cloud-edge systems, distributed computing, and future communication systems.
- Support the organization of outreach activities related to the Institute’s research activities., The position is salaried and based on the collective agreement of the Länder (TV-L). If the personal and collective agreement requirements are met, the employee will receive pay grade E13 TV-L., The load of teaching will be calculated according to § 3 of Lehrverpflichtungsverordnung (state of North Rhine-Westphalia). Interested candidates should submit the following documents: * A detailed CV highlighting relevant experience and publications (if any). * A cover letter outlining research interests and career goals. * A sample(s) of recent research work (e.g., publication - if any, thesis excerpt).
Requirements
We are looking for a highly motivated researcher to join an ambitious research program aimed at developing the next generation of network-centric distributed cognitive robotic systems. The position addresses the fundamental challenge of how heterogeneous autonomous agents, including humanoids, quadrupeds, drones, and intelligent sensor platforms, can collaboratively perceive, reason, learn, efficiently communicate, and act in dynamic environments. The researcher will join the Institute of Networked Energy-Efficient Systems at the Faculty of Electrical Engineering and Information Technology, Ruhr University Bochum. This is a full-time position with immediate availability., * Master’s degree in Electrical Engineering, Computer Science, Telecommunications, or a related field. Prior publications in renowned transactions, journals, and the proceedings of reputable conferences are highly desirable and advantageous.
- Robotics and Autonomous Systems , Artificial Intelligence and Machine Learning
- Multi-Agent Systems, Multi-Agent Reinforcement Learning
- Distributed Systems and Cloud-Edge Computing, Robot Operating System (ROS2), Computer Vision and Sensor Fusion
- Semantic Reasoning and Knowledge Graphs , Optimization and Planning Algorithms
- Familiarity with frameworks such as Isaac Sim, Gazebo, PyTorch, Ray RLlib, Kubernetes, Docker, NATS
- Knowledge of 5G and beyond communication standards and technologies is highly desirable.
- Ability to independently and proactively design, execute, and analyse experimental research.
- Excellent analytical and problem-solving skills , Strong scientific writing and communication abilities
- Ability to collaborate effectively in multidisciplinary and international teams, Strong motivation to pursue high-impact research
Benefits & conditions
Employment at one of the largest universities in Germany within the University Alliance Ruhr, A workplace in a green environment with direct access to the botanical garden of Ruhr University Bochum, A job in the heart of the lively Ruhr metropolitan region with its diverse cultural offerings, A varied sports program with around 100 sport disciplines and the university’s own gym
- Engaging and challenging tasks with significant responsibility in a cutting-edge research environment.
- Collaborative and supportive team culture within a friendly work environment.
- Extensive training and professional development opportunities.
- Discounts on local transportation services, bicycle programs, and sports facilities.
About the company
The Institute of Networked Energy-Efficient Systems is dedicated to advancing autonomous, energy-efficient cloud-based networks that support cutting-edge services and innovations. We are assembling a talented international team committed to pioneering research and teaching in this dynamic field., RUB sees itself as a university with an international presence. The campus languages are German and English. Competence in at least one of the two languages and the willingness to learn the other are a prerequisite. RUB provides corresponding free courses for employees.
German language courses are offered by the University Language Center (ZFA) in the field of German as a Foreign Language (DaF). https://www.daf.ruhr-uni-bochum.de/daf/mitarbeitende/index.html.en
The Staff Council has the right to participate in all selection interviews. At the request of a candidate (m/f/x), it will ensure its participation in the entire procedure. Please contact wpr@rub.de.
The Ruhr-Universität Bochum is one of Germany’s leading research universities, addressing the whole range of academic disciplines. A highly dynamic setting enables researchers and students to work across the traditional boundaries of academic subjects and faculties. To create knowledge networks within and beyond the university is Ruhr-Universität Bochum’s declared aim.
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