Don't miss our weekly PhD newsletter | Sign up now Don't miss our weekly PhD newsletter | Sign up now

  PhD Studentship Opportunity: Advanced sampling and hybrid data analysis for characterisation of scalability of high-power per weight halide perovskites photovoltaics


   Faculty of Engineering and Physical Sciences

This project is no longer listed on FindAPhD.com and may not be available.

Click here to search FindAPhD.com for PhD studentship opportunities
  Prof Ravi Silva  No more applications being accepted  Funded PhD Project (UK Students Only)

About the Project

The UK strategy for a Net Zero economy by 2050 and the growing electrification of automotive and aircrafts is fueling investments in the low carbon economy, predicted to be £170 billion per year by 2030. In parallel, portable electronics will reach trillions of units in the next years generating huge demand for energy sources with high power per weight (W/Kg). Perovskites are a new class of semiconductors for next generation photovoltaics, already achieving certified efficiencies of 25.2% in glass substrates. The manufacturing process is compatible with lightweight, flexible substrates, making it suitable for high W/kg applications (aircrafts, space, IoT devices, etc). However, the lower processing temperatures required on these substrates leads to loss of performance (~12-15% on 10cm2). Understanding local microstructure on the overall performance is critical together with device area increases due to the lack of fast measurements and methods for quantification of structure.

We will develop an innovative and unique capability of advanced sampling and hybrid data strategy with spatially resolved fast spectroscopy to quantify electrical and spectroscopic data to support manufacturability of photovoltaics. The work will be developed both at Surrey and at the National Physical Laboratory and is also supported by Airbus, who are examining multifunctional coatings with Surrey. Additionally, Surrey’s net Carbon Zero drive by 2030, envisages development of a solar farm that would provide a dedicated test site to validate lab with real outdoor performance.

As part of the project output we will hope to demonstrate high power-conversion efficiency on large-area flexible substrates: >18% with aperture area >50 cm2; a measurement method (sampling and implementation) for fast spectroscopic and spatially resolved characterisation. Within the contact we will develop hybrid data analysis method with combined optical imaging and electrical characteristics.

Benefits from the project will include accelerated development and validation of new materials and high W/Kg photovoltaics and the ability to provide significant insight into how to increase performance of flexible photovoltaics that will be evaluated in real applications.

The novel sampling and analysis methods are transferable to a wide range of other thin film electronic applications, including power electronics, battery electrodes, etc. Availability of high W/Kg power sources will accelerate growth of the UK’s low carbon economy: portable electronic; electrification of automotive and aerospace industry, including autonomous vehicles.

All facilities associated with the Advanced Technology Institute and NPL at Teddington relevant to the project will be made available to the successful candidate.

This project will be supervised by Professor Ravi Silva and Professor Fernando Castro.

This is a 4-year project starting in January 2022.

Entry requirements

First-class degree or equivalent or distinction at Masters.

English language requirements: IELTS Academic 6.5 or above (or equivalent) with 6.0 in each individual category.

How to apply

Applications should be submitted via the Advanced Technology Institute PhD programme page on the "Apply" tab.

Please state clearly the studentship project at you would like to apply for.

Applicants are encouraged to contact Prof Ravi Silva on [Email Address Removed] to discuss their application.

Please include a research proposal and your CV.


Chemistry (6) Engineering (12) Materials Science (24)

Funding Notes

This is an EPSRC iCASE award. Full UK tuition fee covered. Stipend of £15,609 per annum. Personal computer (provided by the department)