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We invite applications from enthusiastic and self-motivated individuals who are passionate about cutting-edge, multidisciplinary research in future telecommunications and sensing technologies. Reconfigurable Intelligent Surfaces (RIS) are being considered as... Read more one of the key components for future 5G and 6G millimeter-wave networks. RIS can offer a bespoke control to manipulate an incident electromagnetic wave and is envisioned to offer multiple simultaneous applications for integrated sensing, localisation, and communication. Although a lot of work has been done in developing static and reconfigurable metasurfaces, RIS still faces several issues such as low bandwidth, out-of-band interference, energy efficiency, prone to damage, cost, and complexity. This PhD project seeks to develop next-generation RIS with enhanced reliability, multifunctionality, and intelligent adaptability. Leveraging machine learning-based optimisation techniques, the research will contribute to creating smart radio environments tailored to the demands of future networks. We are looking for candidates with a strong background in electromagnetics, RF design (ideally including metasurfaces, RIS, or antenna arrays), mathematics, electronic circuits, computer programming, and machine learning. The ideal candidate will have a working knowledge of key software tools such as CST Microwave Studio, Ansys HFSS, and MATLAB for system-based simulations; hands-on experience with fabrication and measurements (operating vector network analyser, anechoic chamber, etc.); and implementing ML-algorithms on 2D-matrix problems. Loughborough University has an extensive RF facility including an anechoic chamber, a semi-anechoic chamber for RIS measurements, network analysers, and material characterisation. The candidate will join a vibrant group of researchers and will receive the necessary training to undertake this research.Read less
Program overview
Main Subject
Engineering - Electrical and Electronic
Degree
PhD
Study Level
PHD
Study Mode
On Campus
We invite applications from enthusiastic and self-motivated individuals who are passionate about cutting-edge, multidisciplinary research in future telecommunications and sensing technologies. Reconfigurable Intelligent Surfaces (RIS) are being considered as... Read more one of the key components for future 5G and 6G millimeter-wave networks. RIS can offer a bespoke control to manipulate an incident electromagnetic wave and is envisioned to offer multiple simultaneous applications for integrated sensing, localisation, and communication. Although a lot of work has been done in developing static and reconfigurable metasurfaces, RIS still faces several issues such as low bandwidth, out-of-band interference, energy efficiency, prone to damage, cost, and complexity. This PhD project seeks to develop next-generation RIS with enhanced reliability, multifunctionality, and intelligent adaptability. Leveraging machine learning-based optimisation techniques, the research will contribute to creating smart radio environments tailored to the demands of future networks. We are looking for candidates with a strong background in electromagnetics, RF design (ideally including metasurfaces, RIS, or antenna arrays), mathematics, electronic circuits, computer programming, and machine learning. The ideal candidate will have a working knowledge of key software tools such as CST Microwave Studio, Ansys HFSS, and MATLAB for system-based simulations; hands-on experience with fabrication and measurements (operating vector network analyser, anechoic chamber, etc.); and implementing ML-algorithms on 2D-matrix problems. Loughborough University has an extensive RF facility including an anechoic chamber, a semi-anechoic chamber for RIS measurements, network analysers, and material characterisation. The candidate will join a vibrant group of researchers and will receive the necessary training to undertake this research.Read less
Admission Requirements
3.2+
6.5+
92+
Applicants must have either a 2:1 honours degree (or equivalent) or a strong merit or distinction in Electrical Engineering, Physics or related topics. Expertise in antennas, metasurfaces and machine learning is preferred.
Applicants should meet the minimum English language qualifications.
Applicants will need to submit a research proposal (not more than 3 pages), CV, and an example of written work (paper, project report, etc.) to be considered for an interview.
10 Feb 2025
3 Years
Oct
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
Adaptive Reconfigurable Intelligent Metasurfaces for 5G/6G Networks PhD
Loughborough University, Loughborough, United Kingdom
# 201-250QS Subject Rankings
36 monthsProgram duration
10 Feb, 2025Application Deadline
Engineering - Electrical and ElectronicMain Subject Area
Program overview
Main Subject
Engineering - Electrical and Electronic
Degree
PhD
Study Level
PHD
Study Mode
On Campus
Reconfigurable Intelligent Surfaces (RIS) are being considered as...
Read more one of the key components for future 5G and 6G millimeter-wave networks. RIS can offer a bespoke control to manipulate an incident electromagnetic wave and is envisioned to offer multiple simultaneous applications for integrated sensing, localisation, and communication. Although a lot of work has been done in developing static and reconfigurable metasurfaces, RIS still faces several issues such as low bandwidth, out-of-band interference, energy efficiency, prone to damage, cost, and complexity.
This PhD project seeks to develop next-generation RIS with enhanced reliability, multifunctionality, and intelligent adaptability. Leveraging machine learning-based optimisation techniques, the research will contribute to creating smart radio environments tailored to the demands of future networks.
We are looking for candidates with a strong background in electromagnetics, RF design (ideally including metasurfaces, RIS, or antenna arrays), mathematics, electronic circuits, computer programming, and machine learning.
The ideal candidate will have a working knowledge of key software tools such as CST Microwave Studio, Ansys HFSS, and MATLAB for system-based simulations; hands-on experience with fabrication and measurements (operating vector network analyser, anechoic chamber, etc.); and implementing ML-algorithms on 2D-matrix problems.
Loughborough University has an extensive RF facility including an anechoic chamber, a semi-anechoic chamber for RIS measurements, network analysers, and material characterisation. The candidate will join a vibrant group of researchers and will receive the necessary training to undertake this research. Read less
Program overview
Main Subject
Engineering - Electrical and Electronic
Degree
PhD
Study Level
PHD
Study Mode
On Campus
Reconfigurable Intelligent Surfaces (RIS) are being considered as...
Read more one of the key components for future 5G and 6G millimeter-wave networks. RIS can offer a bespoke control to manipulate an incident electromagnetic wave and is envisioned to offer multiple simultaneous applications for integrated sensing, localisation, and communication. Although a lot of work has been done in developing static and reconfigurable metasurfaces, RIS still faces several issues such as low bandwidth, out-of-band interference, energy efficiency, prone to damage, cost, and complexity.
This PhD project seeks to develop next-generation RIS with enhanced reliability, multifunctionality, and intelligent adaptability. Leveraging machine learning-based optimisation techniques, the research will contribute to creating smart radio environments tailored to the demands of future networks.
We are looking for candidates with a strong background in electromagnetics, RF design (ideally including metasurfaces, RIS, or antenna arrays), mathematics, electronic circuits, computer programming, and machine learning.
The ideal candidate will have a working knowledge of key software tools such as CST Microwave Studio, Ansys HFSS, and MATLAB for system-based simulations; hands-on experience with fabrication and measurements (operating vector network analyser, anechoic chamber, etc.); and implementing ML-algorithms on 2D-matrix problems.
Loughborough University has an extensive RF facility including an anechoic chamber, a semi-anechoic chamber for RIS measurements, network analysers, and material characterisation. The candidate will join a vibrant group of researchers and will receive the necessary training to undertake this research. Read less
Admission Requirements
Scholarships
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To help students navigate this challenging process, we recommend the following articles:
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Get answers to all your questions about scholarship applications, including tips on how to find scholarships and chances of success.
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QS subject rankings
Subject: Engineering - Electrical and Electronic
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Cognitive Monitoring of Human Operators using Multi-modal Artificial Intelligence PhD
Continuous Manufacturing Of Nano-Assemblies For Mrna Based Therapies And Vaccines: From Batch To Industry Scale PhD
Countering Cyberattacks in Autonomous Vehicles PhD
Cryptographic Primitives for Symmetric Cryptography PhD
Crystallisation with 3D Printing Template and Hydrogel Templates PhD
Data and AI Powered Turbulence Modelling for Fusion Energy Cooling Flows PhD
Design and fabrication Custom Foot Orthotics PhD
Design of Programmable Mechanical Metamaterials PhD
Developing Diffusion Models for Electric Vehicle: Spatial-temporal analysis and Policy Evaluation PhD
Developing Natural Surfactants from Biomass for Industrial Applications PhD
Development of New Digital Technologies and Generative Artificial Intelligence Tools For The Next Generation Green-By-Design and Sustainable Pharmaceuticals PhD
Development of Robust Wall Modelling for Practical Aerodynamic High Fidelity Prediction Phd
Dynamic Deformation, Damage and Fracture Of Composites PhD
Energy Efficiency Optimisation of Electric Vehicles In Dynamic Driving Scenarios PhD
Engineering New Materials for Solid-State Cooling Phd
Enhancing Human-Robot Interaction: Leveraging Artificial Intelligence for Emotional Intelligence in Robotics PhD
Unveiling Molecular Mechanisms of the Beneficial Impact of Exercise on Cancer Metabolism PhD
Using the Metabolome to Study Aging and Geroprotectors in 3D Cell Models PhD
Visual Data Mining on Proteins and Biomedicine Crystallisation PhD
Waste-derived Bioplastics for a Circular and Sustainable Food Packaging Economy PhD
Life Sciences and Medicine (5)
Adaptive and Predictive Computational Modelling of Biomaterials: A Digital Twin Framework for Next-Generation Personalised Healthcare PhD
Adaptive and Predictive Computational Modelling of Biomaterials: A Digital Twin Framework for Next-Generation Personalised Healthcare PhD
Biomarkers of Aging PhD
Biomarkers of Aging PhD
Developing Prescription Guidelines for Passive Heat Therapy PhD
Developing Prescription Guidelines for Passive Heat Therapy PhD
Does Socialised Real-Life Body Exposure Promote Body Image Positivity PhD
Does Socialised Real-Life Body Exposure Promote Body Image Positivity PhD
Energy Dissipation In Human Soft Tissue During Impacts PhD
Energy Dissipation In Human Soft Tissue During Impacts PhD
Natural Sciences (13)
Accelerated Screening and Synthesis of New Chemotherapeutic Agents for Pancreatic Cancer PhD
Accelerated Screening and Synthesis of New Chemotherapeutic Agents for Pancreatic Cancer PhD
Bespoke Organometallic Compounds for Anticancer Studies PhD
Bespoke Organometallic Compounds for Anticancer Studies PhD
Bio-based Sustainable Materials for Autonomous Thermal Management in Wearables PhD
Bio-based Sustainable Materials for Autonomous Thermal Management in Wearables PhD
Biomimmetic Catalytic Asymmetric Synthesis of the Bisorbicillinoids and Related Products PhD
Biomimmetic Catalytic Asymmetric Synthesis of the Bisorbicillinoids and Related Products PhD
Climate and Ecological Transitions Hub Studentship PhD
Climate and Ecological Transitions Hub Studentship PhD
Coherent State Methods in Spectral Asymptotics PhD
Coherent State Methods in Spectral Asymptotics PhD
Computational Modelling of Sustainable Alloys PhD
Designing Classroom Tasks To Improve Students’ Learning Of Mathematics PhD
Developing Novel Antibiofilm Coatings for Sustainable Biofilm-Free Surfaces PhD
Development of Hybrid Microcomb Sources with Topologically Protected Dark Resonances for Simultaneous Classical and Quantum PhD
Development of Novel Bicyclopentanes (BCP) Bioisosteres From Bench Stable [1.1.1]-Propellane Precursors PhD
Digital Twins for Biofilm Management PhD
Dispersionless Integrable Systems In 2+1 Dimensions PhD
Social Sciences and Management (5)
An Evaluation of Erasmus+ Sport Projects and Their Impact on EU Sport Policy Development PhD
An Evaluation of Erasmus+ Sport Projects and Their Impact on EU Sport Policy Development PhD
Climate Change, Work Design and Worker Wellbeing Phd
Climate Change, Work Design and Worker Wellbeing Phd
Communication and Social Change (CSC) Hub Studentship PhD
Communication and Social Change (CSC) Hub Studentship PhD
Enhancing Motivation in Sport and Exercise Contexts PhD
Enhancing Motivation in Sport and Exercise Contexts PhD
Out of School Youth Provision: An Analysis of Funding and Operational Resilience within the Sector PhD
Out of School Youth Provision: An Analysis of Funding and Operational Resilience within the Sector PhD