Work with Europe’s largest supercomputer. Develop the largest Machine Learning models. Find new applications of ML that pushes science forward. At the Jülich Supercomputing Centre (JSC), we operate one of the most powerful supercomputer infrastructures for scientific and engineering applications in Europe. In the project OpenGPT-X, we will develop a large-scale language model for European languages as a foundation for our partners applications. This project is part of the GAIA-X project, a European initiative aiming at an open, transparent data infrastructure. The models and training code will be published and we will contribute to make the Neural Language Processing (NLP) market more independent and Open Source. In the Algorithm Tools and Methods Lab (ATML) – research group “Applied Machine Learning” – at JSC, we develop new ML applications for science with special focus on HPC systems. We identify exciting data sets, develop interesting research questions, train powerful models, and try to push further what is possible with AI.
We are looking to recruit a
As part of the ATML research group Applied Machine Learning, you will develop scalable High Performance Computing techniques that allow training large Machine Learning models on the largest supercomputer in Europe. Your most important tasks will be the scalable training of the model in the OpenGPT-X project. Furthermore, you will apply your Machine Learning knowledge to research problems from various domains, such as Earth and Environment, Remote Sensing, Cosmology, or Molecular Modeling. In more details, your work comprises:
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:
We offer you an exciting and varied role in an international and interdisciplinary working environment. The position is initially for a fixed term of two years with possible long-term prospects. Salary and social benefits are in conformity with the provisions of the Collective Agreement for the Public Service (TVöD).
Please note that at the same time as this position, a vacancy for a Research Scientist Machine Learning position is published.
Forschungszentrum Jülich promotes equal opportunities and diversity in its employment relations.
We also welcome applications from disabled persons.
The job will be advertised until the position has been successfully filled. You should therefore submit your application as soon as possible. We look forward to receiving your application via our Online Recruitment System!
Get in touch with us by using our contact form. Please note that for technical reasons we cannot accept applications via email.
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