About the position
Job description
Join TU Delft in developing AI that thinks like a scientist
Job description
While all the headlines are full of AI learning from massivve datasets, in this position you will investigate how can we teach machines to learn from tiny amounts of data. You will investigate how how can we achieve this goal by making AI think like a scientist -- reason about which models and plausible and should be explored. We will build this new approach upon the combination of program synthesis and automated reasoning, and apply it to actual problems from scientific discovery and robotics.
You will join the Algorithmics Group in the Department of Software Technology, Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS). You will collaborate with PhD students and postdocs working on program synthesis and automated reasoning, and will have opportunities to co-supervise students. You will be supervised by Prof. Sebastijan Dumancic.
Job requirements
The ideal candidate will be an ambitious, proactive, reflective, and results-driven researcher. We are looking for the following:
MSc degree in Computer Science and/or Artificial Intelligence (essential) prior experience in automated reasoning (essential) prior experinece with symbolic machine learning approaches (essential) prior experience in applying automated reasoning or machine learning in biology, chemistry, or other naturla sciences (desirable) good communication, organisation, and writing skills good programming skills and desire to produce usable open-source software
TU Delft (Delft University of Technology)
This listing was collected from a public source and is reproduced here for
information only. Always confirm the details on the original posting before applying.
View the original posting