Hiring begins!
Two PhD Positions open
The Discrete Mathematics and Mathematical Programming (DMMP) group at the University of Twente is looking for two PhD candidates to join the LOGSMS team (formal advertisement).The field of Machine Learning on Graphs aims to extract knowledge from graph-structured and network data through machine learning models. LOGSMS will combine diverse tools from discrete mathematics, learning theory and machine learning, thus facilitating the design and analysis of provably powerful graph learning models.
PhD Position 1
PhD position 1 will focus on developing new graph-theoretic frameworks for analyzing graph learning models, such as Graph Neural Networks or Graph Transformers.- Strong background in graph theory and graph algorithms is a must. Prior experience in machine learning is highly appreciated, but not obligatory.
- We appreciate prior mathematical exposure to at least one of the following topics: random graphs, mathematical logic or statistical learning theory.
PhD Position 2
PhD position 2 will focus on designing scalable graph learning models, primarily geared towards assisting combinatorial solvers for practical graph algorithm benchmarks.- Strong background in graph theory and graph algorithms is a must.
- We appreciate prior experience in implementing deep learning models for graphs and networks.
The formal application link is available at the University of Twente jobs portal (click here).
Please apply before 31 January 2026 to receive full consideration.