Assistant Professor position in Language and AI Engineering at the Department of Mathematics and Computer Science at TU/e. You will join the Data & AI cluster within the Data Science Domain, focusing on the intersection of AI, language, cognition, multimodality, and human-AI interaction.
## Research Focus
Core Area:
- AI, Language, and Cognition: Conduct fundamental research into the relationship between language and cognitive capabilities and large-scale AI models. Explore core areas such as memory, reasoning, and the nature of machine "understanding." Investigate what separates genuine machine understanding and reasoning from blind optimization of benchmark performance.
Combined with one or more of:
- Multimodal Interaction: Research and develop AI systems that interact through diverse modalities, including vision (images, video), language, and physical interfaces (e.g., robotics).
- Human-AI Collaboration: Design and study models for effective human-AI partnerships. Focus on complex collaborative tasks that require joint reasoning and consensus-making.
- Enhancing AI Interpretability and Safety: Develop novel techniques to understand the internal workings of AI models. Identify, analyze, and mitigate potential biases, fairness issues, and other safety risks to build more trustworthy systems.
- Societal Impact: Study the application and implications of advanced AI in critical societal contexts, such as legal systems, engineering, and scientific discovery, with a focus on reliability and trustworthiness.
## Responsibilities
- Develop a strong and recognizable research profile in one or more of the areas above
- Conduct high-quality academic research with peer-reviewed publications in leading AI/ML conferences and journals
- Actively contribute to meaningful collaborations within and beyond TU/e
- Teach and contribute to teaching processes, developing excellent teaching skills
- Mentor and coach students and staff
- Contribute to the Beethoven program's ambition to educate top talent and strengthen STEM research