Join us at KIT in shaping the future of renewable energy through cutting-edge research at the intersection of perovskite photovoltaics and machine learning. Your contribution will be crucial in developing and optimizing innovative materials and processes for high-efficiency solar cells.

Organizational unit

Institut für Mikrostrukturtechnik (IMT)

Job description

Your responsibilities include:

• Research on AI methods for materials discovery and scalable manufacturing processes in perovskite photovoltaics:
• Designing and conducting laboratory experiments
• Creating comprehensive experimental datasets
• Applying machine learning methods (e.g., neural networks) to analyze, interpret, and optimize complex experimental processes
• Supporting project work and coordinating laboratory infrastructure
• Assisting in teaching activities
• Publishing research results in scientific journals and presenting at conferences

The position offers the opportunity to pursue a PhD alongside your work.

Starting date

baldmöglichst / as soon as possible

Personal qualification

You have:

• An excellent Master’s degree in computer science, mechanical engineering, process engineering, chemistry, physics, electrical engineering, materials science, or related fields
• Knowledge of semiconductor physics or optoelectronics
• Strong programming skills
• Experience with AI methods is an advantage