Research Associate – Device characterization of tandem solar cells and machine learning

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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. Offer Varied and diverse role in an international environment. Annual bonus and capital‑forming benefits. 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; knowledge of German advantageous (but not compulsory).

Work‑life balance: flexible working location after consultation and in line with upcoming tasks and on‑site appointments. 30 days of vacation plus additional days off. Flexible working time models, including options close to full‑time. Professional development with targeted, individual support.

Fair remuneration: classified in pay grade 13 of the TVöD‑Bund. Fixed‑term position limited to 2 years. We welcome applications from people with diverse backgrounds, including age, gender, disability, sexual orientation/identity, and social, ethnic and religious origin.

A diverse and inclusive working environment with equal opportunities is important to us. #J-18808-Ljbffr

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