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Full Name: testname

Duration: 1/1/2025-1/1/2026

Partners:

• This PhD research focus on developing high-performance fiber-chip interface to address the industry needs for next-generation products where more then ever every loss needs to be eliminated. Current fiber grating couplers are limited by its high loss, limited bandwidth, and polarization sensitivity. For high-channel-count or course wavelength-division-multiplexing optical circuits, it is crucial to increase the fiber interface optical bandwidth to facilitate wafer-level testing. For photonic receivers, a polarization-splitting fiber interface would reduce the difficulty for packaging. For many emerging applications including quantum photonics, it would also be desirable to have extremely loss low fiber couplers. To achieve these novel design concepts, it would be crucial to adopt advanced algorithms including machine learning. The PhD student is expected to carry out independent and novel research in the silicon photonics device platform team, during which he/she will master Python programming for scientific data processing, and the modelling, simulation, and characterization of silicon photonics devices and circuits.
• In this research, the PhD student will carry out:
• * Literature review of existing out-of-plane solutions for fiber interfaces
• * Design, simulate, layout and characterize silicon photonics devices for efficient and polarization-diverse fiber coupling
• Improve the device performances compared to the state of the art by advanced optimization methods, such as classical local/global optimization methods and machine-learning-driven optimization.
• * Improve the device design flow by algorithm-enhanced automation and parallel-computing-enabled performance evaluation
• * Explore novel process and design concepts to enable relaxed alignment tolerance, lower polarization-dependent loss, and better manufacturing robustness. For example, lithography enhancement techniques and improved layer stack.

Objective:

• This PhD research focus on developing high-performance fiber-chip interface to address the industry needs for next-generation products where more then ever every loss needs to be eliminated. Current fiber grating couplers are limited by its high loss, limited bandwidth, and polarization sensitivity. For high-channel-count or course wavelength-division-multiplexing optical circuits, it is crucial to increase the fiber interface optical bandwidth to facilitate wafer-level testing. For photonic receivers, a polarization-splitting fiber interface would reduce the difficulty for packaging. For many emerging applications including quantum photonics, it would also be desirable to have extremely loss low fiber couplers. To achieve these novel design concepts, it would be crucial to adopt advanced algorithms including machine learning. The PhD student is expected to carry out independent and novel research in the silicon photonics device platform team, during which he/she will master Python programming for scientific data processing, and the modelling, simulation, and characterization of silicon photonics devices and circuits.
• In this research, the PhD student will carry out:
• * Literature review of existing out-of-plane solutions for fiber interfaces
• * Design, simulate, layout and characterize silicon photonics devices for efficient and polarization-diverse fiber coupling
• Improve the device performances compared to the state of the art by advanced optimization methods, such as classical local/global optimization methods and machine-learning-driven optimization.
• * Improve the device design flow by algorithm-enhanced automation and parallel-computing-enabled performance evaluation
• * Explore novel process and design concepts to enable relaxed alignment tolerance, lower polarization-dependent loss, and better manufacturing robustness. For example, lithography enhancement techniques and improved layer stack.

INTEC's Role:

• This PhD research focus on developing high-performance fiber-chip interface to address the industry needs for next-generation products where more then ever every loss needs to be eliminated. Current fiber grating couplers are limited by its high loss, limited bandwidth, and polarization sensitivity. For high-channel-count or course wavelength-division-multiplexing optical circuits, it is crucial to increase the fiber interface optical bandwidth to facilitate wafer-level testing. For photonic receivers, a polarization-splitting fiber interface would reduce the difficulty for packaging. For many emerging applications including quantum photonics, it would also be desirable to have extremely loss low fiber couplers. To achieve these novel design concepts, it would be crucial to adopt advanced algorithms including machine learning. The PhD student is expected to carry out independent and novel research in the silicon photonics device platform team, during which he/she will master Python programming for scientific data processing, and the modelling, simulation, and characterization of silicon photonics devices and circuits.
• In this research, the PhD student will carry out:
• * Literature review of existing out-of-plane solutions for fiber interfaces
• * Design, simulate, layout and characterize silicon photonics devices for efficient and polarization-diverse fiber coupling
• Improve the device performances compared to the state of the art by advanced optimization methods, such as classical local/global optimization methods and machine-learning-driven optimization.
• * Improve the device design flow by algorithm-enhanced automation and parallel-computing-enabled performance evaluation
• * Explore novel process and design concepts to enable relaxed alignment tolerance, lower polarization-dependent loss, and better manufacturing robustness. For example, lithography enhancement techniques and improved layer stack.

Project Web site: https:\\www.photonics.intec.ugent.be

People involved

• Bart Kuyken

Research topics involved

• Integrated Comb Laser

See also:

• title