The Faculty of Science and Engineering at the University of Groningen is seeking a highly motivated postdoctoral researcher to join their team working on the development of high-efficiency wide-bandgap perovskite for application in perovskite-perovskite tandem solar cells.
The successful candidate will work in a collaborative environment with leading European academic and industrial partners, including the universities of Oxford and Valencia, on a large-scale European project.
The focus of the postdoc project will be on using advanced numerical simulation modeling software and machine learning techniques to quantitatively study the electrical characteristics of state-of-the-art perovskite solar cells. Specifically, the successful candidate will identify the loss mechanisms of the perovskite solar cells made and measured by the other partners through the use of extensive numerical modeling. This will involve extending our current drift-diffusion modeling software, applying it to experimental data, and using machine learning to identify trends in the data.
Salary
In accordance with the collective labor agreement for Dutch Universities, they offer:
- a salary from a minimum of € 3,226 gross per month up to a maximum of € 5,090 gross per month based on a full-time position and dependent on qualifications and work experience.
- excellent secondary terms of employment
- a holiday allowance of 8% of gross annual income and an 8.3% end-of-year bonus
- participation in a pension scheme for employees
Job Requirements
Applicants for this position must meet the following criteria:
- A university PhD degree in Physics, Material Science, or related disciplines
- fluency in spoken and written English
- hold a PhD degree (or will graduate before the appointment date) in physics or a similar, related field
- have demonstrable experience in numerical modeling
- have demonstrable experience in machine learning
- show the ability to collaborate in an interdisciplinary environment
- have strong communication skills and are motivated to disseminate results to both scientific peers and a broad audience
be proficient in the English language (oral and written)
Application Process
Applications in one pdf should include:
- Letter of application
- Curriculum vitae
- Copy of the latest degree/qualification
- Two letters of recommendation.
To apply for the Post-doc Machine Learning and Modelling of Perovskite Solar Cells, click here.
Deadline: June 16, 2024.
For more information on Post-doc Machine Learning and Modelling of Perovskite Solar Cells, visit the official site.
