PhD Position on Analysis of Geometric Machine Learning Methods

The faculty of Electrical Engineering, Mathematics, and Computer Science (EEMCS), University of Twente, is looking for a motivated, theory-oriented PhD candidate to work on the project “A continuum view on geometric machine learning methods.”

In this project, they aim to understand the transferability, mesh independence, and effect of symmetries on geometric learning approaches in general and when applied to scenarios governed by (partial) differential equations on objects with geometric invariances. A precise understanding of these aspects will be linked to their impact on stability and the understanding of spectral biases in graph neural networks.

The approach envisioned is based on discrete-to-continuum limits of models on densely sampled geometric graphs, combining approximation-theoretical, spectral and variational points of view.

Duration: 4 Years


  • A gross monthly salary ranging from € 2.770,- (first year) to € 3.539,- (fourth year);
  • There are excellent benefits, including a holiday allowance of 8% of the gross annual salary, an end-of-year bonus of 8.3%, and a solid pension scheme;
  • The flexibility to work (partially) from home;
  • Free access to sports facilities on campus
  • A family-friendly institution that offers parental leave (both paid and unpaid);
  • Benefit from a training programme as part of the Twente Graduate School, where candidates and their supervisors will determine a plan for a suitable education and supervision.

Job Requirements

Applicants for this position must meet the following criteria:

  • Have, or will shortly acquire, an MSc degree in mathematics.
  • A highly motivated researcher is motivated to keep asking and answering mathematical questions.
  • Have a solid background in one or more of the following: functional analysis, numerical analysis, differential geometry, or theoretical machine learning.
  • Are motivated to sustain a theoretical focus while working in an application-driven area.
  • Proficient in English.
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Application Process

  • A motivation letter emphasizing the specific interest and motivation to apply for a PhD position in this research area.
  • A detailed curriculum vitae.
  • An academic transcript of BSc and MSc education, including grades.
  • A summary of your MSc thesis/final project.
  • Two references.

To apply for the PhD Position on Analysis of Geometric Machine Learning Methodsclick here.

Deadline: April 16, 2024.

For more information on the PhD Position in the Analysis of Geometric Machine Learning Methods, visit the official site.

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