Our Team

Our group is always looking for exceptionally talented students at various levels, such as: student, doctoral candidate, or postdoc positions. If there are specific vacancies these will be announced on this webpage. If you are interested in working with us, feel free to send an open application to Michael Schaub using the subject line [application netsci]. Please include relevant information such as a CV, a short statement of research interests or recommendation letters. Try to illustrate what aspects of our research you are interested in and how you could contribute to our group.

Professor

Administration

Researchers

  • René, Alexandre

    Alexandre René

    PostDoc

  • Savostianov, Anton

    Anton Savostianov

    PostDoc

    My research is focused on the development of efficient algorithms for graph signal processing and machine learning on graphs and simplicial complexes.

    The topic of my PhD thesis (@ GSSI, Italy) was the topological and numerical stability of simplicial complexes.

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    Bastian Epping

    PhD Student

  • Kühn, Damin

    Damin Kühn

    PhD Student

  • Patel, Dhiraj

    Dhiraj Patel

    PostDoc

  • Frantzen, Florian

    Florian Frantzen

    PhD Student

  • Hoppe, Josef

    Josef Hoppe

    PhD Student

    Most of my research is focused on higher-order networks, specifically cell complexes. In this area, I have papers and python packages on both signal processing on and random models for cell complexes,

    I am also working on control of power distribution systems using AI.

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    Lennard Rompelberg

    PhD Student

    I currently work on modeling statistical relations between entities through higher order structures. Furthermore, I am interested in flow dynamics and their relationship to social networks.

  • Scholkemper, Michael

    Michael Scholkemper

    PhD Student

  • Grande, Vincent P.

    Vincent P. Grande

    PhD Student

    I work on the intersection of Topological Data Analysis, Topological Signal Processing, and Network Science. In particular, I try to relate large-scale topological and geometric structure back to local(ised) information in complex data sets. My favourite animal is the cow.

Visitors

Alumni

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    Felix I. Stamm

    Graduated PhD Student

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      Leonie Neuhäuser

      Graduated PhD Student

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        Mehdi Naima

        Former PostDoc