Advancing the frontiers of artificial intelligence and contributing to groundbreaking research in machine learning, large language models, and AI creativity at the Max Planck Institute.
Requirements
- Proficiency in programming and familiarity with modern machine learning frameworks.
- Strong academic background in computer science, artificial intelligence, machine learning, data science, computational linguistics, or closely related fields.
- Demonstrated interest and experience in topics such as large language models, interpretability, or AI creativity.
Responsibilities
- Enhancing the factual accuracy and reasoning capabilities of large language models, ensuring their outputs can be trusted in sensitive domains like education and scientific research.
- Pioneering data-centric methods for interpreting AI systems, providing deeper insights into model behavior and improving transparency.
- Exploring and expanding the creative potential of AI, particularly in generating new scientific ideas and supporting innovative research workflows.
- Synthesize reliable information, enhance reasoning, and personalize AI outputs, with direct applications in education and science.
- Developing methods to understand and explain AI models by focusing on the data that shapes their decisions and behaviors.
- Investigating how AI can foster creativity, support scientific discovery, and drive innovation in research.
Other
- Analytical thinking, creativity, and a passion for advancing AI research.
- Motivation to contribute to real-world applications of AI in education, science, and other domains.
- Excellent communication skills and the ability to work collaboratively in an international research environment.
- Candidates from diverse backgrounds and underrepresented groups are strongly encouraged to apply.
