Machine learning engineer Jobs in Düren

The Jülich Supercomputing Centre (JSC) operates one of the most powerful computer systems for scientific and technical applications in Europe and makes it available to scientists at Forschungszentrum Jülich, in Germany, and across Europe for research purposes via an independent review process. As part of this task, the JSC carries out research and development work in the fields of technology, HPC systems, communication, highly scalable data science, mathematics, and application support. The “Large-Scale Data Science department” develops highly scalable methods and tools for data management and analysis, as well as for integrating data and computer resources into federated infrastructures with a focus on the upcoming exascale era. The tools and methods are developed and tested in collaboration with users in selected scientific domains in order to offer generic solutions to a large number of scientific communities.

Join our team at the next possible date as

Research Scientist — AI for Earth Observation

Your Job :

In this position, you will be an active member of our “Simulation and Data Lab for AI and Machine Learning in Remote Sensing”, which aims to strengthen interdisciplinary research by bridging satellite remote sensing applications with large-scale AI, high-performance, and innovative computing. Within national and European projects, you will collaborate with our partners and drive the development of cutting-edge applications of foundation models for Earth observation on the JUPITER AI Factory (JAIF). As the only AI factory with an exascale supercomputer, JAIF offers unique opportunities for training and deploying AI models in Europe. Specifically, you will :

• Design, optimize, and operate inference and fine-tuning workflows for foundation models in EO
• Implement models on JAIF’s infrastructure and build reliable, reproducible data flows for large EO datasets and workflows
• Lead performance engineering (parallelization, optimization, benchmarking) for adaptation and inference at scale
• Work closely with industry partners and public agencies; provide expert user support for JAIF
• Publish in peer-reviewed venues and present results at scientific meetings
• Contribute to educational activities (courses, hackathons, community events)

Your Profile :

Our Offer :

We work on highly topical, socially relevant issues and offer you the opportunity to actively shape change! You can expect a wide range of opportunities :

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. The job will be advertised until the position has been successfully filled. You should therefore submit your application as soon as possible via our Online Recruitment System !