At Platform-ZERO we encourage enthusiast and ambitious candidates interested in starting their PhD on “Fabrication and Characterization of Solar Cells from Emerging Technologies” to apply for the PhD position at UPO.

Please send CVs before the 18th of March 2023 to nanosolarupo@gmail.com and state the “UPO-NSC-PZ-2023/01” reference number.

Institution: Universidad Pablo de Olavide de Sevilla (UPO)

Working Group: Nanostructured Solar Cells, Department of Physical, Chemical and Natural Systems (UPO)

Description: The Nanostructured Solar Cells Group of University Pablo de Olavide, Seville, Spain, is looking for an excellent PhD candidate to work on the opto-electronic characterization of different thin film photovoltaic technologies and the comparison of the obtained data with numerical simulations. The objective is to establish innovative opto-electronic characterization methodologies that will be used for an advanced process control in the fabrication process of photovoltaic thin film modules.
The work will be carried out within the European Project Platform Zero, (“Customizable AI-based in-line process monitoring platform for achieving zero-defect manufacturing in the PV industry”) in the framework of a European Consortium with industrial participation (https://lnkd.in/dJzD_Pqu).

The Platform ZERO Project aims to improve the overall production quality of photovoltaic devices, and at the same time to lower fabrication costs, through zero defect manufacturing. This will be achieved by applying in-line process monitoring, control and artificial intelligence strategies, and implemented in four different pilot plants in four different countries.

Requirements: The candidates should hold an excellent Master degree in Physics/Materials Science/Electronic Engineering/Chemistry (etc.) and ideally have some expertise in semiconductor physics and opto-electronic characterization techniques. Previous experience with thin film photovoltaics, characterization of devices with small perturbation techniques, numerical simulations and/or management of big data will be valued. The successful candidate must be well organized, motivated and ambitious to carry out high quality research within a large consortium.