Das ist der Job
Your task is to build up a predictive model for tandem cell stability.
Darum lohnt es sich
Willingness and ability to participate in international meetings. Predictive Model For Tandem Cell Stability
You will be a member of a consortium of leading research institutes and an industry partner. Responsibilities Receive tandem solar cells from a partner institute and perform high‑throughput degradation and characterization.
Develop existing predictive models with respect to the prediction of time‑series data in hybrid AI workflows, considering physical model parameters. Adapt the protocol of the high‑throughput characterization to maximize the predictive capacity of the AI model. Scientific communication of the results (publications, conference presentations).
Intense interaction with the consortium. Qualifications Master and PhD degree in materials science, physics, chemistry, informatics, machine learning, energy technology or related subjects. Prior experience in building predictive models using regression techniques, neural networks (CNN, GNN) or symbolic regression.
Experience in the dissemination of scientific results, demonstrated by publications and presentations at conferences. Experience with conducting and documenting scientific experiments as well as processing and analyzing data (Python, Origin). Good communication in English; k
