We are seeking to fill a PhD position in the
Data and Artificial Intelligence Cluster, within the Faculty of Mathematics and Computer Science at Eindhoven University of Technology (TU/e). You will join a vibrant and diverse team of 15 faculty members and over 40 PhD students and postdocs who are advancing the science and engineering of data, machine learning, AI systems, and applications.
You will be part of the HORIZON Research and Innovation Actions project titled "SYNERGIES: Real and synthetic scenarios generated for the development, training, virtual testing, and validation of CCAM systems."
This project is part of a large program in collaboration with many academic and industrial partners, including major OEMs in Europe, with a significant impact on the future of safe AD deployment. You will be building foundation models for both embedded and embodied AI, focusing on LLM-guided sparsity and learning agents. Your work will involve language-based navigation, training, labeling (and data curation in general), as well as developing more intuitive LLM-based active learning approaches. Ultimately, you will work towards LLM-based scenario descriptions for actor generation in simulations.
Your research will aim to advance the state of the art in foundation models by making them more efficient, inspired by the human brain and memory-based learning and tracking approaches. This will contribute to the development of efficient scene generation and understanding, laying the foundation for safe and efficient autonomous driving deployment in Europe.
You will participate in cutting-edge research, publish your work in leading machine learning and AI conferences and journals, contribute to open-source tools, and collaborate closely to make these tools applicable in real-world autonomous driving contexts. You will have opportunities to present your work at high-profile scientific meetings and conferences. Your primary base will be in Eindhoven, where you will work under the supervision of Mykola Pechenizkiy and Bahram Zonooz.
Your main activities will include:
- Advancing the state of the art in scenario generation and synthetic data for autonomous vehicles.
- Creating working software prototypes.
- Collaborating closely with use-case partners to apply your research results to real-world problems, using real data and interacting with real users.
- Publishing and presenting papers in top conferences and journals.
- Developing your professional network and collaborating with other PhD candidates in the DAI cluster, the Synergies consortium, and beyond.