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Quantum machine learning for communication network optimization and security ( Ref: WD_2020_35_WSCH_4)


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  Dr D Kilbane, Dr Bernard Butler  No more applications being accepted  Funded PhD Project (Students Worldwide)

About the Project

Post summary

Applications are invited for a PhD position funded by WIT. The candidate is expected to be highly self-motivated, and willing to work in future emerging topics in Quantum Technology.

Position: Quantum machine learning for communication network optimization and security.

Description: 6G is envisaged to be a massively connected complex network capable of rapidly responding to user requirements through real-time learning of the network state as described by the network edge (base station location and cache content), air interface (spectrum range and propagation channel), and client side (battery life and location of user devices). Optimizing this multi-domain, multi-dimensional network state can be viewed as a quantum uncertainty problem. Real-time optimization of complex networks is most suited to machine learning, and the combination of ‘quantum computing algorithms and machine learning’ (QML). As such, QML can be considered as a novel 6G communication enabler. The main aim of this project is to develop QML for optimization and security for a range of networks including low earth orbit (LEO) satellite and unmanned aerial vehicle (UAV) networks. LEO cubesat constellations offer several advantages such as global coverage, small size, cost-effectiveness, low energy consumption, short development time and rapid deployment. UAVs/drones are operated remotely by automation and fly autonomously. The PhD candidate will identify the most promising QML for classical communication network optimization and security and develop the software to realize it. The candidate will implement QML on real quantum computers using software such as IBM Qiskit, and apply it on classical 5G/6G network testbeds.


Funding Notes

Supervisor(s) Dr. Deirdre Kilbane (SETU), Dr Bernard Butler (SETU)
Research Group: Walton Institute
Department /School/Faculty: Department of Computing and Mathematics
Duration 48 months (Structured PhD)
Status: Full-time
Funding information:WIT Scholarship 2020/2021
Value of the scholarship per year for four years Stipend: €15,000 ,Fees: €4,500, Research costs: €2,000
Teaching requirement :Two hours of academic development activities per week during the academic year in line with scholarship requirements.
Closing date and time This Competition will close on at 4pm Irish time on the 14th of September 2022
Interview date: TBC
PhD commencement date: Quarter 4 2022

References

Person specification
Qualifications
Essential
• First- or second-class honours degree in physics, computer science, engineering, mathematics or related relevant discipline.
Desirable
• MSc degree or equivalent postgraduate qualification in physics, computer science, engineering, mathematics or related relevant discipline.
Knowledge & Experience.
Essential
• Strong background in quantum computation/quantum algorithms or artificial intelligence/machine learning.
• Strong skills in coding e.g. python, matlab.
• Highly analytical.
Desirable
• Expertise in data analysis and machine learning.
• Keen interest in quantum computation/quantum algorithms.
• Familiarity with communication network management.
• Demonstrated capability in the delivery of research projects at undergraduate or postgraduate level.
Skills & Competencies
Essential
• Applicants whose first language is not English must submit evidence of competency in English, please see WIT’s English Language Requirements for details.
• Highly motivated, demonstrate initiative and ability to work within multi-disciplinary project team to achieve results.
• Strong interpersonal and communication skills.
• Good academic record of excellence and writing skills
Desirable
• Prior experience working with/in industry, scientific paper and report writing.
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