i-MEET open positions
i-MEET job offers
This page lists available jobs at i-MEET.
Open Positions for Postdocs & PhD Candidates
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Our offer:
The “Solar Factory of the Future”, a cooperation project between the Chair of Materials Science (Materials of Electronics and Energy Technology, i-MEET) of the Friedrich-Alexander University Erlangen-Nürnberg and the Helmholtz Institute for Renewable Energy Erlangen-Nürnberg (HI-ERN), offers a post-doc position (full position, salary according to E13 TV-L) in the field of upscaling perovskite photovoltaics from lab scale to high-throughput manufacturing. The duration of the contract will be up to two years, with the opportunity of extension for another year.
Your task:
Your task will consist in developing processes and instrumentation for roll-to-roll manufacturing of long-lived high-efficiency perovskite modules on flexible substrates. You will work as part of an international team of scientists, engineers and technicians. Integral parts of your work will be:
- Cooperation with other research groups and industrial partners
- Publication of scientific results in high-level journals
Your qualifications:
- Master in physics, chemistry or materials science.
- Completed PhD in one of the above-mentioned subjects.
- Excellent experimental skills and solid theoretical background in printed photovoltaics, preferably perovskite photovoltaics.
- Hands-on experience in engineering, automation and data processing.
Timeline:
The position is to be filled by 01.06.2023 or later.
Please send your application with the usual documents (comprising cover letter, CV, references, grades and certificates) by e-mail to Dr. Hans-Joachim Egelhaaf (hans-joachim.egelhaaf@fau.de) before 17.04.2023.
- Doctoral Researcher for project #FOR5387-P9a (PIs: Prof. Dr. Christoph Brabec, FAU, and Prof. Dr. Ning Li, HI ERN and South China University of Technology)
- Thesis Topic: The impact of selective spectral illumination on the degradation kinetics of printed organic solar cells: identifying molecular instable motifs with advanced machine learning methods
- Specific requirements: Good understanding of the physics and chemistry of organic solar cells, enjoying analysis of solar materials and characterization of solar devices, enjoying preparation and optimization of solar cells with robot based setups, interest in high throughput experimentation, interest in Machine Learning algorithms like GPR for feature recognition. Not afraid of using coding (MatLab, Python) in a Jupyter notebook environment.
- Job located at FAU
- Doctoral Researcher for project #FOR5387-P9b (PIs: Prof. Dr. Christoph Brabec, U Erlangen, and Prof. Dr. Ning Li, HI ERN and South China University of Technology)
- Thesis Topic: The impact of thermal stress on the burn-in degradation kinetics of printed organic solar cells: identifying governing principles stabilizing the interface to charge extraction layers with high throughput experimentation
- Good understanding of the physics and chemistry of organic solar cells, enjoying analysis of solar materials and characterization of solar devices, enjoying preparation and optimization of solar cells with robot based setups, interest in high throughput experimentation, interest in Machine Learning algorithms like GPR for feature recognition. Not afraid of working with databases and using coding (MatLab, Python) in a Jupyter notebook environment.
- Job located at FAU
Open Positions for technical staff
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If you are interested in Open Master an Bachelor Theses, take a look in the Theses section.