Postdoctoral Researcher in AI-Driven Control and Management of Confluent Wireless-Wireline Networks
3 weeks ago
Project Overview
The role involves developing advanced control and orchestration methods for confluent networking. Primary goals include improving capacity, energy efficiency, and latency by implementing AI-driven control of new physical layer solutions as part of the ECO-eNET project. This will involve efficient provisioning using existing and new controllers for wired, wireless, and computing systems, as well as an AI-enabled orchestration layer.
Key Responsibilities
- Formulate research questions and develop strategies to solve them within the scope of your project.
- Develop new AI/ML approaches for optimizing confluent network design and operation and integrate them into proof-of-concept demonstrators.
- Collaborate with forward-thinking team members and external researchers from academia and industry.
Qualifications
To qualify, you must hold a doctoral degree in Electrical Engineering, Computer Science, Telecommunication, or similar, awarded no more than three years prior to the application deadline. Exceptions can be made for parental leave, sick leave, or military service.
Required Skills
- Proficiency in applying AI/ML methods to communication infrastructure management and operation.
- Experience in building and executing experimental demonstrations and proofs of concepts.
- Ability and motivation to carry-on high-quality research.
- Strong track record demonstrated by publications in Q1 journals and top-tier international conferences.
- Outstanding programming skills.
- Excellent communication skills in oral and written English.
Contract Terms
This postdoc position is a full-time temporary employment for two years.
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