The University of Oslo, in collaboration with the Norwegian Centre for Knowledge-driven Machine Learning (Integreat), is seeking to advance research on how neural networks extract relevant information from data, develop efficient and robust algorithms for realistic data and computing constraints, and address challenges in significant application areas through the Integreat project “Embedded Sufficient Statistics.”
Requirements
- A strong academic background in computer science, informatics, data science, artificial intelligence, machine learning, or related fields.
- Demonstrated interest and experience in machine learning and neural networks.
- For the postdoctoral fellowship: a completed PhD in a relevant discipline.
- For the PhD fellowship: a completed master’s degree in a relevant discipline.
Responsibilities
- Contribute to research on how neural networks extract the most relevant information from data.
- Develop efficient and robust algorithms suited to realistic data and computing resource constraints.
- Collaborate to address major challenges in significant application areas.
Other
- Excellent analytical and collaborative skills.
