PhD Position– Hydrogen Technologies: The Institute of Energy and Climate Research – Theory and Computation of Energy Materials (IEK-13) at Forschungszentrum Jülich is offering a PhD position. The role focuses on utilizing artificial intelligence and digital technologies to advance sustainable hydrogen energy technologies. This initiative is part of a major European effort to accelerate the discovery, design, and deployment of high-performance materials essential for the hydrogen energy sector.
PhD Position – Digital Integration and AI for Sustainable Hydrogen Technologies
Summary Table
| Designation | PhD Position – Digital Integration and AI for Sustainable Hydrogen Technologies |
|---|---|
| Research Area | Sustainable Energy Technologies, Artificial Intelligence, Digital Integration |
| Location | Institute of Energy and Climate Research – Theory and Computation of Energy Materials (IEK-13), Forschungszentrum Jülich, Germany |
| Eligibility/Qualification | Master’s degree in Engineering, Computer Science, Physics, or a related field. Experience in programming (Python, Django) and machine learning models. |
| Job Description | Research and develop AI methodologies for energy materials, automate synthesis processes, manage data, and integrate AI/ML algorithms in automated systems. |
| How to Apply | Submit a detailed CV, motivation letter, and relevant academic certificates. |
| Last Date to Apply | Open until filled. Submit applications as soon as possible. |
Designation
PhD Position – Digital Integration and AI for Sustainable Hydrogen Technologies
Research Area
- Sustainable Energy Technologies
- Artificial Intelligence
- Digital Integration
Location
Institute of Energy and Climate Research – Theory and Computation of Energy Materials (IEK-13), Forschungszentrum Jülich, Germany
Eligibility/Qualification
- Master’s degree in Engineering, Computer Science, Physics, or a related field.
- Strong research interest in sustainable energy technologies and automated systems.
- Experience in programming (Python, Django) and machine learning models.
- Analytical thinking and problem-solving abilities.
- Fluency in English with excellent communication skills.
- Familiarity with multi-objective optimization algorithms, Bayesian optimization, active learning, and large datasets.
Job Description
- Conduct research to develop and validate AI methodologies for the characterization, modeling, and simulation of energy materials.
- Develop code and use frameworks like Django for automating synthesis, fabrication, and characterization processes.
- Create modular AI-driven platforms for data management, standardizing and harmonizing data across platforms.
- Work with large language models (LLM) and deep learning algorithms for inverse design of materials.
- Ensure AI and ML algorithm integration in high-throughput and automated systems, addressing data quality and operando characterization challenges.
- Contribute to the FAIR-ification of data, establishing systematic data collection and metadata extraction protocols.
How to Apply
Submit your application including:
- A detailed CV
- A motivation letter outlining your interest and qualifications for the position
- Relevant academic certificates
Applications should be submitted as soon as possible, as the position will be advertised until successfully filled.
Last Date for Apply
Open until filled. Submit applications as soon as possible.
Be part of a transformative initiative aimed at making a tangible impact on Europe’s energy future through innovation in materials science and digital technologies. We welcome applications from people with diverse backgrounds and are committed to creating an inclusive working environment with equal opportunities for all.
