Join a groundbreaking project to develop next-generation, open-source multi-modal foundation models. Collaborate with top research labs and experts to create transparent, efficient, high-performing models with novel capabilities that democratize access to AI. Apply now!
InformationWe are seeking a highly motivated postdoctoral fellow to join our research team in an ambitious 3-year project on next-generation multimodal, open-source foundation models. You’ll be part of an excellent team of scientists, covering the full spectrum from model development to evaluation and real-world use cases.
SnapshotArtificial Intelligence is reshaping our world. Now you get to shape AI. This large and ambitious project aims to develop a groundbreaking family of advanced, multilingual, open source foundation models based on solid research on model architecture, data quality, scaling, generalizability, finetuning, and safety. It combines the unique expertise of leading AI companies and top academic labs to create models with stronger generalization and finetuning capabilities, as well as enhanced transparency and safety. This will be an inclusive, community-driven project designed to and foster a new wave of innovation and scientific advancement.
The teamThe Automated Machine Learning team at TU Eindhoven focusses on cutting-edge research to advance the capabilities of machine learning models, while also democratizing AI and leveraging it to help humanity. We are a team of scientists and engineers who aim to deeply understand, explain, and build AI systems that learn continually and automatically assemble themselves to learn faster and better. In addition to producing highly-cited research published at top academic venues, we build models and systems that are widely used by people every day. Learn more about us here:
https://openml-labs.github.io. This work is part of a large and talented team with world-class labs and experts across Europe, supported by well-known companies with advanced knowledge of LLM development.
The roleWe are looking for an exceptional researcher with a real passion for AI, with a deep understanding of the latest developments and eager to explore new avenues of research. In this role, you will design and build cutting-edge methods that will establish a family of multilingual large language models, with a special emphasis on distributed training and in-depth evaluation. We appreciate a strong empirical and theoretical understanding of deep learning and generative AI.
Key Research Areas: -
Large Language model training across multiple languages, at large scale.
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Model evaluation, especially for new capabilities, generalization performance and model safety.
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Evaluation of case studies in real-world applications, also in industry settings.
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Establishing and supporting an open-source ecosystem for LLM research and development.
This research will be performed under the supervision of professor
Joaquin Vanschoren, in collaboration with several key European research labs and industrial partners.