Optical Systems Engineer - Doctoral Student with the DN NESTOR (Portugal)
Infinera
- Lisboa
- Permanente
- Horário completo
- Investigate existing and new optical node architectures for converged metro networks leveraging point-to-point and point-to-multipoint coherent pluggable transceivers.
- Develop network design and operation frameworks tailored for converged metro networks optimizing metrics such as cost, power consumption, footprint and scalability. Execute detailed techno-economic comparisons.
- Implement simplified models to estimate optical performance in converged metro networks using coherent pluggable transceivers and the selected node architectures. These models will be used to ensure the feasibility of the solutions obtained.
- Work collaboratively with other forward-thinking team members and external researchers from academic and industry.
- Write and present internal and public reports and deliverables.
- Write and present technical papers in high-impact journals and conferences from the IEEE and OPTICA.
- Understanding of digital communications and telecommunications systems.
- Knowledge of the most relevant subsystems of an optical communication system (i.e., transceivers, modulators, optical amplifiers, optical switches) and familiar with optical node architectures.
- Experience with optimization models and algorithms (e.g., integer linear programming models, heuristic algorithms).
- Knowledge of digital signal processing and optical transmission models.
- Excellent verbal and written communication skills. The candidate must be able to convey the results of the investigation work clearly and concisely in written form as well as in oral communications.
- Programming experience in Matlab, Python, Julia, or similar. The candidate must be able to develop his/her own simulation tools, or extend existing ones, to carry out the necessary analysis. Highly attentive to detail, motivated, and possessing troubleshooting skills.
- Master’s in electrical engineering/computer science/physics
- B2-C1 English Level