At the Institute of Energy and Climate Research - Fundamental Electrochemistry (IEK-9) at the Forschungszentrum Jülich (Research Center Jülich), we perform research on highly relevant topics related to the energy transition. For example, we investigate new battery concepts and how we can turn the greenhouse gas carbon dioxide (CO2) to the fuel of the future. In addition to advanced experimental research about the fundamentals of electrochemistry, we also prioritize theoretical simulations and the latest methods of data science in order to facilitate the interpretation of experiments as well as to develop new, digitally supported experimental techniques.The aim is to develop sustainable and cost-effective electrochemical systems with improved energy and power density, longer life time, and maximal safety. Find out more about our mission and future-oriented projects here: https://go.fzj.de/IEK-9

Your Job:

The department “Theoretical Electrochemistry and Data Science” at IEK-9 plans to design and code a flexible, adaptive tool for digital image processing. Various experimental imaging techniques are routinely applied at IEK-9 to study electrocatalytic surfaces and phase boundaries. The huge amount of accumulated imaging data requires automatized image postprocessing to facilitate the efficient and reliable analysis and interpretation of different experimental imaging techniques such as atomic force or electron microscopy as well as tomography. We intend to use different machine learning (ML) algorithms with a strong focus on neural networks (NN) to create a versatile image processing tool as well as to develop new, advanced ML-supported imaging techniques. Your tasks in this exciting assignment:

• You will develop and code the ML-based image processing tool together with colleagues both at the IEK-9 and at associated partner institutes
• In close collaboration and open exchange with experimental colleagues, you will identify requirements for the image processing and support the application in the experimental setup
• You will supervise project students, who will work on smaller sub-projects related to image processing
• You will summarize and publish project results both in publications as well as at scientific conferences

Your Profile:

• Master’s and PhD degree in Physics, Applied Mathematics, Data Science, or Theoretical/Computational Chemistry
• Profound programming skills in python and its ML and NN modules
• Extensive background in ML, NN and related deep learning methods ideally with a focus on digital image processing
• Experience with experimental imaging techniques is preferable
• Experience in interdisciplinary projects and open-minded, flexible work ethics
• A motivated, tolerant attitude to supervise students responsibly; ideally some prior experience in supervision of students
• Fluent English skills both in speech and writing

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:

• A large research campus with green spaces, offering the best possible means for networking with colleagues and pursuing sports alongside work
• An interesting, innovative project with the opportunity to give constructive input and a certain measure of creative flexibility
• Comprehensive training courses and individual opportunities for personal and professional further development
• Extensive company health management
• Ideal conditions for balancing work and private life, as well as a family-friendly corporate policy
• Flexible work (location) arrangements, e.g. working in home office
• Targeted services for international employees, e.g. through our International Advisory Service

We offer you an exciting and varied role in an international and interdisciplinary working environment. The position is fixed until 31.07.2025. Salary and social benefits will conform to the provisions of the Collective Agreement for the Public Service (TVöD-Bund) depending on the applicant’s qualifications and the precise nature of the tasks assigned to them.

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.

We look forward to receiving your application by 13.9.2022

The full job advert and the link for applications can be found at:

https://www.fz-juelich.de/de/karriere/stellenangebote/2022-336