Scientist* Machine Learning for Optical Network Automation

Fraunhofer-Gesellschaft, Germany

Updated: about 1 year ago
Location: Berlin, BERLIN
Deadline: The position may have been removed or expired!

The group „Data Analytics and Signal Processing“ (DSP) in the department of Photonic Networks and Systems is looking for new staff to support their activities in the area of optical telecommunication and network automation, in particular development of privacy-preserving machine learning algorithms. The group is running a number of research projects in close collaboration with industry partners to develop novel network automation solutions for application in future 6G networks and validate them experimentally. Become part of a highly motivated international team of researchers and work in one of the most advanced research laboratories in Europe on the future of optical communication.

Be a part of our highly motivated and international research team and go on an innovation journey with us!

What you will do

  • Research and development in the field of optical communications and communication networks

  • Automation of optical access networks in conjunction with metro transport networks

  • Design, development, and experimental validation of machine learning pipelines together with advanced telemetry streaming workflows

  • Research on privacy-preserving machine learning algorithms 

  • Development of network APPs for autonomous monitoring and maintenance of optical communication networks

  • Presentation of R&D results in the form of project reports, presentations, and journal articles

What you bring to the table

  • University degree / master studies in the field of communications engineering, computer science, or related fields

  • Excellent background in machine learning and hands-on experience with various libraries

  • Excellent programming skills in Python

  • Background in IP and optical networking technologies (switches and routers)

  • Experience with databases and cloud technologies (Docker, Kubernetes)

The following knowledge is an advantage:

  • Experience with network programmability and protocols (e.g. NETCONF, gRPC, gNMI) 

  • Experience with SDN controllers and network orchestrators

  • Experience with Apache Kafka, Influx, Grafana

What you can expect

  • Attractive salary package according to TvöD with 30 vacation days, pension scheme (VBL), wealth creation benefits (VWL)

  • Modern  and excellently equipped workspace in central location

  • Great and cooperative working atmosphere in an international team

  • Flexible working hours

  • Support, if you wish to do a doctorate

  • Opportunities to work from home

  • Extensive training-, health- and sports offers

  • Various employee discounts and discounted BVG ticket

  • Offers for families (parent-child office, emergency care, leisure activities, etc.)


The position is initially limited to 2 years. An extension is explicitly desired.

The weekly working time is 39 hours. We value and promote the diversity of our employees' skills and therefore welcome all applications - regardless of age, gender, nationality, ethnic and social origin, religion, ideology, disability, sexual orientation and identity. Severely disabled persons are given preference in the event of equal suitability. 

With its focus on developing key technologies that are vital for the future and enabling the commercial utilization of this work by business and industry, Fraunhofer plays a central role in the innovation process. As a pioneer and catalyst for groundbreaking developments and scientific excellence, Fraunhofer helps shape society now and in the future. 

Interested? Apply online now. We look forward to getting to know you!

Dr.-Ing. Johannes Fischer

Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute HHI 

www.hhi.fraunhofer.de  

Requisition Number: 62230                Application Deadline: 03/31/2023


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