Optical Systems Architect

vor 1 Woche

Munich, Bayern, Deutschland Infinera Vollzeit
Job Description

Doctoral Candidate (DC) Position in Horizon Europe MSCA Project NESTOR

Infinera is seeking an exceptional PhD student to join our Strategic Architecture Engineering Team in Munich as part of the Doctoral Network NESTOR project funded by the European Commission.

The PhD program is a part of the Marie Skłodowska-Curie Actions NESTOR, which includes several partners from academia and industry. The student will work on the optimization and simplification of next-generation optical networks using state-of-the-art point-to-multipoint pluggable transceivers.

Main Objectives
  • Redesign and simplify complex optical network topologies with smart pluggable transceivers and physical layer knowledge.
  • Minimize the number of required network elements, e.g., routers and transceivers, and devices with smart pluggable.
  • Exploit the available information within the coherent transceiver to monitor and improve network performance.
  • Assess the green impact obtained by the reduction or optimized selection of network elements in future metro aggregation networks.
Key Responsibilities
  • Investigate techno-economic aspects when considering coherent point-to-point versus point-to-multipoint digital subcarrier multiplexing-based transceivers in optical networks scenarios.
  • Explore novel architectures to extend the range of application of coherent point-to-multipoint transceivers and validate the physical layer performance of smart pluggable transceivers for next-generation optical networks.
  • Collaborate with other colleagues, team members, and external researchers from academia and industry.
  • Write and present internal and public reports, such as deliverables and milestones.
  • Write and present technical papers internally and in high-impact journals and conferences from IEEE and OPTICA.
Requirements
  • Master's degree in Electrical Engineering, Computer Science, or Physics.
  • Deep understanding of numerical optimization techniques and Machine Learning techniques.
  • Fundamental understanding of digital communications and telecommunications systems.
  • Excellent verbal and written communication skills.
  • Proficiency in programming languages such as Matlab, Python, Julia, or C++.
Eligibility Criteria
  • Applicants must be doctoral candidates and not have been awarded a doctoral degree.
  • Researchers may not have resided or carried out their main activity in Germany for more than 12 months in the 3 years immediately before the first day of NESTOR employment.

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