Expires on: 03/17/2024
Description
An opportunity for a 3.5 year PhD position supported by NSG Group towards the computational discovery of new materials to enhance the performance of PV devices and forms part of a larger collaboration with NSG around the discovery of new materials for the glass industry.
This PhD project will explore the application of existing computer science methods and algorithms, as well as developing novel ones, to automate the processing of features and their combinations to predict various properties of materials. This may involve developing models to identify new chemistries or regions of the periodic table where these properties may occur, and/or identifying new ways to improve the properties in existing materials.
Ultimately the project aims to discover and develop new materials that can be applied as coatings on glass to enhance the performance of solar cell devices e.g. increasing the cooling from the top surface and will use machine learning and data analytics to propose new materials with the desired optical, electrical and thermal properties that can be synthesised by other researchers as part of the collaboration.
Fields
- Computer Science
- Mathematics
Qualifications
Applications are welcomed from students with a preferably 1st or 2.1 class BSc or equivalent in Mathematics, Computer Science, or Physics. Previous experience with developing machine learning models (or chemistry) is not a requirement, though successful candidates will have strong math and programming skills