Researcher on Autonomous Cloud-Edge Continuum Orchestration

o Design novel orchestration architectures and algorithms for dynamic service placement, migration, and scaling across the cloud-edge continuum.

o Devise and evaluate learning-based methods and control-theoretic approaches to balance latency, reliability, energy efficiency, cost, and sustainability objectives in real time.

o Prototype and experimentally validate the proposed solutions on real-world platforms, including Kubernetes-based edge clusters and private 5G/6G infrastructures

• Collaboration: Work collaboratively with cross-functional teams, including hardware engineers (m/f/x), software developers (m/f/x), and other researchers (m/f/x) to integrate AI solutions with network and cloud infrastructure.

• Publication and Presentation: Publish research findings in high-impact journals and present at international conferences and symposiums to disseminate knowledge and advance the field.

• Project Management: Assist in the management of research projects, including the preparation of reports, grant proposals, and progress updates.

• Teaching Assistance: Help with teaching courses related to clouds and networks, contributing to curriculum development and providing support to students (m/f/x).

• Event Organization: Support the organization of online webinars, events, workshops, and conferences related to the Chair's 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.

Further information can be found at https://oeffentlicher-dienst.info/ (in German). The place of work is Ruhr University Bochum.

The load of teaching will be calculated according to § 3 of Lehrverpflichtungsverordnung (state of North Rhine-Westphalia).

Do you have experience in Research?, Do you have a Master's degree?, We are seeking a highly motivated researcher (m/f/x) to work on next-generation autonomous orchestration mechanisms across the cloud-edge-device continuum. The position addresses fundamental research challenges in the management of distributed compute, storage, and networking resources under mobility, uncertainty, and competing multi-objective constraints. The successful candidate will develop AI-native orchestration frameworks that move decisively beyond static placement strategies and rule-based lifecycle management, enabling self-optimizing and self-evolving systems capable of continuous adaptation across heterogeneous cloud and edge environments. The researcher (m/f/x) will join the Institute of Networked Energy-Efficient Systems at the Faculty of Electrical Engineering and Information Technology, Ruhr University Bochum., o above-average Master's degree in Electrical Engineering, Computer Science, Telecommunications, or a related field.

o initial experience in publications in renowned transactions, journals, and the proceedings of reputable conferences are desirable and advantageous.

• Technical Skills:

o Solid experience with Kubernetes. Experience with ClusterAPI is advantageous.

o Good analytical skills and relevant experience in any of the following: network switching and routing, software-defined networking, mathematical optimization, and machine learning.

o Proficiency in theory and technologies in AI, distributed intelligence, including deep learning, reinforcement learning, meta-learning, transfer learning, offline reinforcement learning, and diffusion model.

o Expertise in programming languages (Python, C/C++, Java), AI/ML frameworks (e.g., PyTorch, JAX), network simulators (e.g., ns-3, OMNeT++), and hardware development (e.g., FPGA, embedded systems).

o Knowledge of 5G and beyond communication standards and technologies is highly desirable.

o Ability to independently design, execute, and analyse experimental research.

• Soft Skills:

o Excellent problem-solving skills and analytical thinking.

o Strong written and verbal communication skills in English.

o Ability to work both independently and as part of a multidisciplinary team.

• Preferred Qualifications:

o Experience in edge intelligence, meta-learning, transfer learning.

o Familiarity with AI-driven network management and orchestration.

o Experience in EdgeAI training, deployment, and demo.

o Knowledge of security and privacy issues in wireless communications.

In order to fill a fixed-term position in full-time (39.83 hours/week = 100%) at the earliest possible date, we are looking for a, * Challenging and varied tasks with a high level of independence

• Employment at one of the largest universities in Germany within the University Alliance Ruhr

• Collaboration in a committed and appreciative team

• A varied sports program with around 100 sport disciplines and the university's own gym

• A job in the heart of the lively Ruhr metropolitan region with its diverse cultural offerings

• Engaging and challenging tasks with significant responsibility in a cutting-edge research environment.

• Extensive training and professional development opportunities.

• Discounts on local transportation services, bicycle programs, and sports facilities.

• Flexible working arrangements including mobile and teleworking options.

• Collaborative and supportive team culture within a friendly work environment.

• the opportunity for further academic qualification

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/sbgk/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.