Phd Position

vor 2 Wochen


Duesseldorf, Deutschland Forschungszentrum Jülich Vollzeit

At the Institute of Energy and Climate Research - Theory and Computation of Energy Materials (IEK-13) we contribute to fundamental understanding of electrochemical phenomena, development and characterization of tailored material solutions, and testing and optimization of new energy technologies. We are advancing the discovery and integration of energy materials by using AI to streamline the development workflow. This involves deep learning for materials characterization, inverse molecular design for targeted syntheses, and the development of ontologies and graph databases to enhance data utilization. Ultimately, we are developing an AI-based platform for data analytics as well as materials design and development, integrating these advancements at every step from lab to device integration.

**Your Job**:
You will contribute to pioneering work on AI methodologies that facilitate advanced materials development, aiming for a significant reduction in the time to market for essential hydrogen energy sector.

Your Job:

- Conduct cutting-edge research to develop and validate advanced AI methodologies for the characterization, modeling, and simulation of energy materials.
- Develop code and utilize frameworks like Django to support the automation of synthesis, fabrication, and characterization processes.
- Engage in the development of modular AI-driven platforms for data management, ensuring the standardization and harmonization of data across platforms.
- Work with large language models (LLM) and deep learning algorithms to drive the inverse design of materials and uncover new physical and chemical phenomena.
- Ensure the integration and effectiveness of AI and ML algorithms in high-throughput and automated systems, addressing challenges related to data quality and operando characterization.

**Your Profile**:

- Master’s degree in Engineering, Computer Science, Physics, or a related field, with a strong research interest in sustainable energy technologies and automated systems.
- Demonstrated experience in programming, particularly in Python, Django, or similar frameworks, with a robust understanding of data extraction and machine learning models.
- An analytical thinker with proven problem-solving abilities and a commitment to pushing the boundaries of interdisciplinary collaboration.
- Fluent in English, with excellent communication skills and the ability to work effectively in a dynamic, collaborative research environment.
- Familiar with multi-objective optimization algorithms, Bayesian optimization, active learning, and handling large datasets.

**Our Offer**:
We work on the very latest issues that impact our society and are offering you the chance to actively help in shaping the change We offer ideal conditions for you to complete your doctoral degree:

- A unique opportunity to contribute to a major European effort aimed at advancing the green hydrogen economy.
- Collaboration with a network of leading researchers and access to top-tier research facilities.
- A supportive and vibrant research community with numerous opportunities for professional growth and development.
- Support from highly qualified scientists at IEK-13
- Network with globally leading academic and industrial partners
- Excellent prospects and career opportunities in a highly dynamic technology sector
- Diverse opportunities to develop professional skills (e.g., within the HITEC Graduate School)
- Targeted services for international employees, e.g. through our International Advisory Service

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.



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