31 phd-studenship-in-computer-vision-and-machine-learning PhD positions at Leiden University
Sort by
Refine Your Search
-
in Computer Science, Statistics, Artificial Intelligence, Data Science, or a related field; Strong knowledge of and experienced with machine learning, data mining, and statistics; Knowledge of and
-
Apply now The Faculty of Science, Leiden Institute of Advanced Computer Science,is looking for a: PhD Candidate Human-Centered Interpretable Machine Learning (1.0fte) Project description In recent
-
://www.universiteitleiden.nl/en/science/mathematics . What you bring The successful candidate is expected to have: A master in statistics, (applied) mathematics, machine learning or a closely-related quantitive discipline (to
-
Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD positions
-
Application Deadline 4 Jan 2026 - 22:59 (UTC) Type of Contract Temporary Job Status Not Applicable Hours Per Week 38.0 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme
-
Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Faculty of Science and the Leiden Academic Centre
-
to the challenges of sustainability. CML distinguishes itself for its attention to professional development in coordination with the interests of its scientists. As such, there are plenty of opportunities to learn
-
, and reinforcement learning within the context of intelligent traffic control systems. This PhD is a joint project between Leiden University and Technolution, and a part of a larger research programme in
-
funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD position within the project
-
geographical locations within the Netherlands, and to acquire skills by active participation in science communication activities, interacting with public audiences and taking part in a pilot programme where