Faculty of Electrical Engineering and Information Technology:
The Chair of Networked Energy-Efficient Systems
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 1
research associate (m,f,x) for 3 years, 39,83 hours per week, TV-L E13, Chair of Networked Energy-Efficient Systems
The Chair 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
The successful candidate will engage in groundbreaking research aimed at integrating GenAI approaches with the IBN paradigm to create zero-touch, intelligent, adaptive, and efficient network M&O systems, supporting the future of mobile communications. This is a full-time (39.83 hours/week) position with immediate availability.
| Scope: | full-time |
| Duration: | fixed-term,
3 Jahre |
| Start: | at the earliest possible date |
| Apply by: |
2025-05-05 |
Your tasks:
- Research and Development: Conduct innovative research on GenAI-driven M&O systems tailored for next-generation mobile networks,particularly focusing on Intent-based network M&O.
- Algorithm Design: Develop novel algorithms and models that leverage GenAI to translate high-level FCAPS intents into automated and optimized network configurations and policies.
- Simulation and Testing: Implement and test the envisioned GenAI-driven M&O solutions in simulated environments, followed by validation in real-world testbed to ensure robustness and scalability.
- Collaboration: Work collaboratively with a multidisciplinary team of researchers and engineers to design and validate GenAI-driven M&O solutions for optimizing FCAPS operations.
- 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.
- Event Organization: Support the organization of online webinars,events, workshops, and conferences related to the Chair's activities.
Your profile:
- 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.
- Good analytical skills and relevant experience in any of the following:mobile network management, cloud-native platform orchestration,network security, mathematical optimization, and machine learning.
- Proficiency in machine learning and AI methodologies, including Transformer modeling, GenAI, and Large Language Models (LLM)s.
- Expertise in programming languages (Python, C/C++, Java), AI/ML frameworks (e.g., PyTorch, JAX), LLM frameworks (e.g., LangChain),network simulators (e.g., ns-3, OMNeT++), and cloud environments(Kubernetes, OpenStack).
- Knowledge of 5G and beyond communication standards and technologies is highly desirable.
- Ability to independently design, execute, and analyse experimental research.
- For Postdoctoral Position, demonstrated experience in conducting high-quality research with a solid publication record in relevant areas.
- Excellent problem-solving skills and analytical thinking.
- Strong written and verbal communication skills in English.
- Ability to work both independently and as part of a multidisciplinary team.
- Experience in GenAI and its applications for FCAPS operations.
- Familiarity with AI-driven network management and orchestration.
- Knowledge of security issues and performance requirements in 5G and beyond networks.
We offer:
Further information:
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.At the request of the applicant (m,f,x), the staff council may be involved in selection interviews. https://www.wpr.ruhr-uni-bochum.de/
The load of teaching will be calculated according to § 3 of Lehrverpflichtungsverordnung (state of North Rhine-Westphalia).
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
You can find information about TV-L at: https://oeffentlicher-dienst.info/
Travel expenses for interviews cannot be refunded.
For information on the collection of personal data in the application process see: https://www.ruhr-uni-bochum.de/en/information-collection-personal-data-application-process.
We are looking forward to receiving your
application.
Interested candidates should submit the following documents: • A detailed CV highlighting relevant experience and publications (if any). • A cover letter outlining your research interests and career goals. • Contact information for at least three professional references. • A sample of recent research work (e.g., publication – if any, thesis excerpt).
At the request of the applicant (m,f,x), the staff council may be involved in selection interviews.
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.
The Ruhr-Universität Bochum stands for diversity and equal opportunities. For this reason, we favour a working environment composed of heterogeneous teams, and seek to promote the careers of individuals who are underrepresented in our respective professional areas. The Ruhr-Universität Bochum expressly requests job applications from women. In areas in which they are underrepresented they will be given preference in the case of equivalent qualifications with male candidates. Applications from individuals with disabilities are most welcome.
Contact persons for further information:
Tom Schockenhoff
, Tel.: +49 234 32 15140
Travel costs, accommodation costs and loss of earnings or other application costs for job interviews can unfortunately not be reimbursed.
We look forward to receiving your application via our online application portal by 2025-05-05. Please make sure to mention the reference number ANR 4490.
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