Doktorand i datavetenskap med inriktning mot ML av graftransformationer
Core
Developing interpretable, efficient, and mathematically verifiable models by combining deep learning with grammatical inference for graph transformations.
Role type
PhD researcher in machine learning (graph transformations)
Builds
Research outputs relevant to theoretical computer science and symbolic machine learning
Domain
Computer Science / Machine Learning / Graph Theory
Deliverable
research
Required skills
Machine learning, Formal languages or automata theory, Analytical and mathematical skills
Preferred skills
Python programming, Knowledge of knowledge graphs, Neural networks for graphs
Responsibilities
Collaborate with the research group to investigate the proposed learning method; Produce research results; Participate in research projects and educational courses (up to 20%)
Seniority
PhD candidate (entry-level research)
