The multidisciplinary Institute for Materials Data Science and Informatics (IAS-9) brings together disciplines ranging from data analysis and machine learning to materials theory, materials simulation, research data management and software development under one roof. In doing so, it addresses the issue of "information" and research data as a way to extract valuable knowledge from simulations, experiments, and microscopy in a highly interdisciplinary and multidisciplinary approach. Methods from the field of computational engineering science are used together with approaches and concepts from computer science, data science and information science.
Your Job:
- As part of your thesis, you will develop solutions for generating material structures for desired material properties
- You investigate material data based on Generative Adversarial Networks and current Deep Learning methods
- You implement and evaluate your solution approaches prototypically in Python (PyTorch / TensorFlow)
Your Profile:
- You study data science, computer science, mathematics, materials science, physics, engineering or a related subject
- You have good practical experience in Python or Julia or C/C++
- You have good structured and analytical skills as well as a systematic, careful, independent, and reliable working method. You enjoy to solve complex problems
Our Offer:
We work on highly relevant innovative topics and offer you the possibility to actively shape the change. We support you with:
- Intensive supervision of your thesis by an research employee
- An exciting work with personal responsibility in the research field of machine learning for material sciences
- An interesting and 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
- Flexible working hours as well as a reasonable remunerationA creative working environment in a leading research institution, located on an attractive research campus of TZA Aachen https://go.fzj.de/TZA
In addition to exciting tasks and a collaborative working atmosphere at Jülich, we have a lot more to offer: https://go.fzj.de/benefits.
Place of employment: Aachen
As a student working on your thesis, you will be employed as a student assistant for the purpose of preparing or writing a bachelor`s or master`s thesis, or within the framework of a German state examination. Remuneration depends on whether you already have a degree and on your weekly working hours. The duration of the contract depends on the requirements of the university and may not exceed 12 months.
We particularly welcome applications from people from a diverse range of backgrounds (e.g. regardless of age, gender, disabilities, sexual orientation/identity, as well as social, ethnic, and religious background). We strive to offer a diverse and inclusive working environment in which people enjoy equal opportunities and are able to fulfill their potential.
Your application should include a short cover letter summarizing your relevant experience, a CV, and certificates of your academic degree(s) (including subjects taken and grades).