Vacancy No. 512/2025
Doctoral Candidate (f/m/d) / Research Associate (f/m/d) – Application of AI in the Development and Manufacturing of Perovskite Semiconductor Materials
Part-time 75%
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.
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.
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
Organizational unit
Eggenstein-Leopoldshafen (and Karlsruhe)
Starting date
baldmöglichst / as soon as possible
Salary
Salary category 13 TV-L, depending on the fulfillment of professional and personal requirements.
Contract duration
3 years
Application up to
11.01.2026
Contact person in line-management
For further information, please contact Prof. Dr. Paetzold, email: ulrich.paetzold@kit.edu
Application
Please apply online using the button below for this vacancy number 512/2025 .
Personnel Support is provided by
Ms Gätcke
phone: +49 721 608-25010,
Institute of Microstructure Technology (IMT)
We prefer to balance the number of employees (f/m/d). Therefore we kindly ask female applicants to apply for this job.
Recognized severely disabled persons will be preferred if they are equally qualified.