Researcher in Foundation Models with a focus on (multimodal) Agent Systems/Multi-Agent Systems

The Fraunhofer-Gesellschaft (www.fraunhofer.com) currently operates 76 institutes and research units throughout Germany and is a leading applied research organization. Around 32 000 employees work with an annual research budget of 3.4 billion euros.

At Fraunhofer IAIS, 360 employees research and develop individual solutions for the integration and analysis of data for our funding bodies and our customers from industry. Artificial intelligence, machine learning, big data, multimedia content analytics, information integration and enterprise modeling and analysis are the focal points of our work. Fraunhofer IAIS is at the center of a strong research network: As one of four leading partners, Fraunhofer IAIS conducts cutting-edge AI research in the "Lamarr Institute for Machine Learning and Artificial Intelligence", which is permanently funded by the federal government and the state of North Rhine-Westphalia as part of the federal government's AI strategy. The research focus of the Lamarr Institute's innovation group "Foundation Models Research Lab (FMR-Lab)" includes FM-based (multimodal) agent systems/multi-agent systems. In particular, research will focus on improving the tool utilization capabilities, planning capabilities, reasoning capabilities of agent systems, and synthetic data generation for agent systems. The FMR-Lab is part of national and international projects for the development of large European foundation models. These include OpenGPT-X, TrustLLM and EuroLingua-GPT, in which large foundation models are trained from scratch on the basis of several million GPU hours and several thousand GPUs.

The distinctive feature of the work at the FMR-Lab is that research questions are derived and defined based on real-world application problems.

For the innovation group "Foundation Models Research Lab (FMR-Lab) we are looking for a

RESEARCHER IN FOUNDATION MODELS WITH A FOCUS ON (MULTIMODAL) AGENT SYSTEMS/MULTI-AGENT SYSTEMS

What you will do

design and implement innovative methods to improve (multimodal) agent/multiagent systems with regard to the automated control of (web) applications
implement and integrate your methods into our technology stack
train foundation models based on your developed methods on high-performance computers comprising several thousand GPUs
publish your research results at high-ranking international conferences and in journals and represent your research topic in the public eye
evaluate the market potential of your AI research together with our application teams

What you bring to the table

Completed scientific university degree (Master's, Diploma) in computer science, mathematics, physics or a similar field with an excellent degree, preferably with a doctorate
Previous knowledge in the fields of data science, machine learning and artificial intelligence, in particular a deep understanding of machine learning
Very good programming skills, especially in Python and PyTorch
Excellent analytical skills, enjoy abstract thinking and conceptual work
High level of commitment and willingness to learn and familiarize yourself quickly with new issues
Structured work and professional demeanor
Very good knowledge of German language skills (at least level C1)

What you can expect

Top-level research within a world-class research environment
Derive and define research questions from real-world application problems so that our research results can not only be published in the most prestigious conferences and journals, but also integrated into products and industrial applications by our application teams - you see your research results in application
Support for your individual development
Collaborative team environment
Access to world-class infrastructure to train foundation models effectively
Participation in pioneering national and international projects on foundation models, including OpenGPT-X, TrustLLM, and EuroLingua-GPT
Diversity is an important strategic goal at our institute: we are actively committed to equal opportunities and diversity, starting with diversity training for all employees
Capital-forming benefits and a company pension scheme
Discounts on the Deutschlandticket

The weekly working time is 39 hours. This position is also available on a part-time basis.

We value and promote the diversity of our employees' skills and therefore welcome all applications - regardless of age, gender, nationality, ethnic and social origin, religion, ideology, disability, sexual orientation and identity. Severely disabled persons are given preference in the event of equal suitability and qualification. Appointment, remuneration and social security benefits based on the public-sector collective wage agreement (TVöD). Additionally Fraunhofer may grant performance-based variable remuneration components. The position is limited to 2 years, with the possibility of extension.

With its focus on developing key technologies that are vital for the future and enabling the commercial utilization of this work by business and industry, Fraunhofer plays a central role in the innovation process. As a pioneer and catalyst for groundbreaking developments and scientific excellence, Fraunhofer helps shape society now and in the future.

Interested? Then apply directly in our online portal. We look forward to welcoming talented and committed researchers to our team!

Questions about this position will be answered by:

Dr. Mehdi Ali (Leiter der Innovationsgruppe "Foundation Models Research Lab")

E-Mail: karriere@iais.fraunhofer.de

Fraunhofer Institute for Intelligent Analysis and Information Systems IAIS

www.iais.fraunhofer.de

Requisition Number: 75321

Job Segment: Federal Government, Information Systems, Computer Science, Government, Part Time, Research, Technology

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