Publisher
source

Kingston University

Passive Microfeature Backplates for Resilient Perovskite Silicon Tandem PV Modules Kingston University in United Kingdom

Degree Level

PhD

Field of study

Mechanical Engineering

Funding

Funded PhD Project (Students Worldwide)

Deadline

Expired

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Country

United Kingdom

University

Kingston University

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Keywords

Mechanical Engineering
Electrical Engineering
Materials Science
Solid Mechanics
Multiphysics Simulation
Photovoltaic
Thermodynamic
Physics

About this position

Kingston University is offering a fully funded PhD position focused on advancing the reliability and performance of perovskite silicon tandem photovoltaic (PV) modules. The project addresses key challenges in thermal stability, mechanical integrity, and moisture protection by developing innovative passive microfeatured backplates. These backplates are designed to enhance module durability and efficiency through improved heat distribution and barrier properties, with the ultimate goal of extending module lifetime and maintaining power output under real-world outdoor conditions.

The research will involve several core objectives: (1) developing and assessing backplate designs that balance heat spreading, moisture control, and stiffness for tandem modules; (2) modelling coupled thermal and mechanical behaviour to understand stress and strain evolution in multilayer module stacks; (3) fabricating and evaluating small-scale demonstrators using accessible, scalable manufacturing techniques; and (4) validating reliability and performance through controlled laboratory and field-relevant testing.

The methodology includes multiphysics simulation to describe heat flow, moisture transport, and mechanical stress within the module, with parametric studies to identify how geometry and materials affect reliability. Candidate backplate materials such as light alloys, coated metals, and composites will be evaluated, and controlled surface features will be introduced using standard forming, embossing, or additive manufacturing techniques. Simplified module samples will be produced for thermal and environmental tests, with interfacial bonding and dimensional stability examined under simulated ageing cycles. Characterisation will employ optical and thermal imaging, electrical characterisation, and mechanical analysis to track degradation, informing design guidelines for next-generation backplates.

This project introduces a passive engineering approach to improving perovskite silicon module reliability through geometric and materials optimisation, rather than relying on active cooling or complex encapsulation. The concept is compatible with scalable manufacturing and could benefit both tandem and single-junction PV technologies. Expected outcomes include improved durability, simplified integration, and reduced long-term cost of energy generation.

The successful candidate will gain expertise in computational analysis, prototype fabrication, and photovoltaic reliability testing, with training in modelling (e.g., COMSOL or ANSYS), materials processing, and analytical methods for PV components. Opportunities for collaboration with industrial and academic partners in photovoltaics, materials science, and clean energy manufacturing will be available, and dissemination through international conferences and journals will be supported.

Applicants should hold at least an upper-second class degree in mechanical engineering, materials science, physics, or electrical engineering. Experience in CAD, simulation, or experimental testing is advantageous, and a strong interest in renewable energy, problem solving, and interdisciplinary research is essential.

Funding is available through the Kingston University Graduate School studentships competition for October 2026 entry. For further details and application instructions, visit the Kingston University PhD Studentships and Faculty of Engineering, Computing and the Environment research pages. The application deadline is March 4, 2026.

Funding details

Funded PhD Project (Students Worldwide)

What's required

Applicants should hold at least an upper-second class degree in mechanical engineering, materials science, physics, or electrical engineering. Experience in CAD, simulation, or experimental testing is advantageous. Interest in renewable energy, problem solving, and interdisciplinary research is essential.

How to apply

Review the Graduate School Studentships information at Kingston University London. Visit the Faculty of Engineering, Computing and the Environment research page for further details. Follow the application instructions provided on these pages.

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