30 machine-learning "UvA" PhD positions

Two PhD Positions on Embodied Foundation Models

foundation models, deep machine learning and computer vision. Topics of interest are test-time generalization, embodied grounding, data scarcity and uncertainly modeling. The research is embedded in the VIS

PhD position in Representations for Neural Information Retrieval

Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field; a thorough understanding of both information retrieval and deep learning; solid programming skills

PhD Position in Accountable Usage Control for Distributed Data Processing Systems

% salary; partly paid parental leave; the possibility to set up a workplace at home; a pension at ABP for which UvA pays two third part of the contribution; the possibility to follow courses to learn Dutch

Two PhD Positions on Human-aligned Video-AI

at the horizon, thanks to a decade of phenomenal progress in machine deep learning. However, the same video-AI is also accountable for self-driving cars crashing into pedestrians, deep fakes that make us believe

Two PhD Positions on Human-aligned Video-AI

. This is no longer wishful thinking. Broad uptake of video-AI for science, for business, and for wellbeing awaits at the horizon, thanks to a decade of phenomenal progress in machine deep learning. However

PhD on Event-based Communication Algorithms for Knowledge Transfer with Distributed Digital Twins

); demonstrated interest in AI reasoning systems, knowledge representation, context-aware pervasive computing, machine learning and data analysis, software engineering; good programming skills; high motivation in

PhD on Event-based Communication Algorithms for Knowledge Transfer with Distributed Digital Twins

, context-aware pervasive computing, machine learning and data analysis, software engineering; good programming skills; high motivation in pursuing academic research; fluency in English, both written and

2 PhD positions with a focus on Accelerating Rarefied Gas Dynamics

work in a consortium consisting of university groups with complementary skills in fluid dynamics and statistical physics (Fluids and Flows, TU/e) and machine-learning techniques (AMLab, UvA), and

PhD student on the subject of Responsible AI for Cultural Heritage (m/f/x)

, such as statistical AI (machine learning), symbolic AI (knowledge graphs, reasoning), and human computation (crowdsourcing). By analyzing empirical evidence of human interactions with data and systems, we

PhD Candidate in Theoretical Ecology

workplace at home; a pension at ABP for which UvA pays two third part of the contribution; the possibility to follow courses to learn Dutch; help with your registration at UvA Staff Housing (application for a