Fully funded multidisciplinary PhD on Solar cell materials exploration accelerated by machine learning and laboratory automation

Would you like to develop sustainable solutions for mitigating climate change? Are you interested in AI but also automation and physics? This highly multidisciplinary PhD position might be for you! In this project, you will co-develop more stable perovskite solar cells and increasingly autonomous materials experiments, including effective integrated machine learning and automation approaches.

This project provides you an excellent starting point for an academic career that could focus on sustainable materials development (for solar cells but also, e.g., batteries or electronics) or accelerated / autonomous experiments. Both are also trending topic areas in industry and start up scene alike. The framing of the project toward automation, materials, and machine learning development can be tuned according to your interests.

See the link for more information and instructions on how to apply!