PhD Position in Solar Cell Optimization: Helmholtz-Zentrum Berlin offers a fully funded PhD position focused on research in machine learning-driven optimization of perovskite solar cells. This opportunity is intended for highly motivated candidates looking to contribute to innovative research in collaboration with top-tier institutions.
PhD Position in Machine Learning-Based Solar Cell Optimization
Designation
PhD Student (f/m/d) – Machine Learning-Based Solar Cell Optimization
| Category | Details |
|---|---|
| Research Area | Machine Learning, Solar Cell Technology |
| Location | HySPRINT Photovoltaics Lab at Helmholtz-Zentrum Berlin |
| Eligibility/Qualification | Master’s degree in Physics, Materials Science, Electrical Engineering, Computer Science, or related field |
| Description | The position involves developing ML algorithms for solar cell optimization, integrating AI with robotic labs, and analyzing perovskite solar cell properties. The PhD student will work in a collaborative environment with international partners and publish research findings. |
| How to Apply | Submit a CV, motivation letter, and two reference letters through the application link provided. |
| Last Date to Apply | [Specific date not provided, please check the application link for further details] |
Research Area
- Machine Learning for Solar Cell Optimization
- AI-driven methods for high-throughput materials discovery
- Performance prediction and device optimization of perovskite solar cells
Location
- Helmholtz-Zentrum Berlin, Germany
Eligibility/Qualification
- Master’s degree (or equivalent) in:
- Physics
- Materials Science
- Electrical Engineering
- Computer Science
- Related fields
- Desired skills include experience with Python, machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn), and knowledge of solar cell research.
Description
This PhD position is an opportunity to engage in cutting-edge research at one of Europe’s foremost research institutes. The successful candidate will:
- Develop and apply machine learning algorithms to optimize solar cells.
- Integrate AI-driven techniques with robotic laboratory systems to enhance materials discovery.
- Work collaboratively with leading researchers globally and contribute to advancing technologies for a climate-neutral future.
How to Apply
Interested candidates should:
- Prepare a CV, including a list of publications (if applicable).
- Write a motivation letter (one page) detailing research interests and relevant experience.
- Provide two reference letters.
Applications must be submitted through the designated application portal.
Last Date to Apply
- Please refer to the application link for specific deadlines and further application instructions.
For more information, engage with the Helmholtz-Zentrum Berlin through their official channels.
