At the Institute of Energy Technologies - Fundamental Electrochemistry (IET-1), we perform research on highly relevant topics related to the energy transition. For example, we investigate the battery of the future and new battery concepts. How we can turn the greenhouse gas carbon dioxide (CO2) into the fuel of the future or how electrolysis can contribute to a hydrogen energy economy are other exciting projects. The aim is to develop sustainable and cost-effective batteries and fuel cells with improved energy and power density, longer lifetime, and maximal safety. Find out more about our mission and future-oriented projects here: https://www.fz-juelich.de/de/iet/iet-1.

Your Job:

At IET-1, we are working on a range of interdisciplinary image processing projects aimed at advancing the analysis of key mechanisms in various electrochemical applications, such as batteries and electrolysis. You will have the opportunity to contribute to tise exciting project in the areas of tomography and microscopy. The project focuses on developing and applying general-purpose image processing tools to analyze diverse electrochemical image datasets. Key responsibilities include:

• Developing Python-based image processing tools tailored to the specific requirements of the chosen project
• Implementing deep learning models for an application from a range of topics including image segmentation, synthetic image generation, object tracking, etc.
• Collaborating with electrochemistry researchers to ensure the tools are compatible with different electrochemical image datasets
• Utilizing Git for version control and maintaining detailed project documentation in LaTeX
• Testing and validating the developed tools on various electrochemical image datasets to ensure accuracy and efficiency

Your Profile:

• Ongoing master studies in engineering, computer science, data science, chemistry, physics, or a related field enrolled in a German university
• Strong proficiency in Python programming, including experience with deep learning frameworks (TensorFlow and Keras)
• Experience with image processing algorithms both classical and machine learning based
• Familiarity with version control using Git, and document preparation with LaTeX
• Basic knowledge about signal processing
• Interest in image processing applications in electrochemical research
• Ability to work independently and in collaboration with interdisciplinary teams
• Strong organizational skills and attention to detail
• Fluent in both written and spoken English

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 support you in your work with:

• An interesting and socially relevant topic for your thesis with future-oriented themes
• Ideal conditions for gaining practical experience alongside your studies
• An interdisciplinary collaboration on projects in an international, committed and collegial team
• Excellent technical equipment and the newest technology
• Qualified support through your scientific colleagues
• The chance to independently prepare and work on your tasks
• Flexible working hours as well as a reasonable remuneration
• A large research campus with green spaces, offering the best possible means for networking with colleagues and pursuing sports alongside work
• Flexible work (location) arrangements, e.g. remote work

In addition to exciting tasks and a collaborative working atmosphere in Jülich, we have a lot more to offer: https://go.fzj.de/benefits

We welcome applications from people with diverse backgrounds, e.g. in terms of age, gender, disability, sexual orientation / identity, and social, ethnic and religious origin. A diverse and inclusive working environment with equal opportunities in which everyone can realize their potential is important to us.