Postdoc: Neurosymbolic Multimodal Reasoning in World Models

Vrije Universiteit Amsterdam; Amsterdam; On-site; EUR 41,000 - 64,000; Full time

Benefits offered by this job

Holiday allowance

End-of-year bonus

ABP pension

Personalized benefits

Commuting contributions

Holiday entitlement 232 hours

Job summary

Vrije Universiteit Amsterdam invites applications for a Postdoctoral position focusing on advancing multimodal world models with explicit commonsense abstraction and reasoning. The successful candidate will develop neurosymbolic world models and evaluate them on tasks requiring space-, time-, and causality-based commonsense reasoning. This project is funded by the NWO AiNed talent project and will be co-supervised by Dr.

Filip Ilievski, Dr. Emile van Krieken, and Prof. Cees Snoek.

Qualifications

• PhD in Machine Learning, Computer Vision, Natural Language Processing, Neurosymbolic AI, or a closely related area.
• Ability to invent and evaluate novel algorithms and present orally and in writing.
• Record of publishing in high-quality conferences or journals in the above fields.

Responsibilities

• Show independence in achieving research goals and supervise PhD students.
• Invent, evaluate, and describe novel multimodal abstraction and explicit reasoning techniques.
• Publish and present research at international venues.
• Collaborate with researchers in Amsterdam and internationally.
• Contribute to teaching activities (lectures, labs, supervising students).
• Develop your portfolio and academic career trajectory.

Education

PhD in Machine Learning, Computer Vision, NLP, Neurosymbolic AI

Tools

Python DL toolkits

Job description

Vrije Universiteit Amsterdam invites applications for a Postdoctoral position focusing on advancing multimodal world models with explicit commonsense abstraction and reasoning. The successful candidate will develop neurosymbolic world models and evaluate them on tasks requiring space-, time-, and causality-based commonsense reasoning. This project is funded by the NWO AiNed talent project and will be co-supervised by Dr.

Filip Ilievski, Dr. Emile van Krieken, and Prof. Cees Snoek.