We are glad to announce that next year’s Young Topologists Meeting (YTM) will take place at EPFL, Lausanne, Switzerland, from July 24th to July 28th 2023.
The purpose of YTM is to offer young topologists an occasion to come together and present their work in a relaxed and informal setting.
The program will consist of short talks given by the participants and two series of lectures by Professor Katharine Turner (Austalian National University) and Professor Marc Hoyois (University of Regensburg).
Registration is now open until the 31th of march, please fill in the following form if interested.
Information about the conference is available at: ytm2023.epfl.ch. If you have any questions, please feel free to contact the organizers via ytm2023@epfl.ch
We are looking forward to seeing you in Lausanne!
Kind regards,
The organizers
Nicolas Berkouk, Hadrian Heine, Henry Kirveslahti, Samuel Lavenir, Kelly Maggs, Olivia Monjon, Victor Roca i Lucio, Bernadette Stolz-Pretzer
Postdoctoral positions are available at the University of Wisconsin-Madison. The candidates will work with professor Moo K. Chung (www.stat.wisc.edu/~mchung) on developing new innovative TDA methods in modeling large-scale brain networks obtained from MRI and EEG scanners. Candidates should be familiar with one of areas: topological data analysis, computational topology, network science, dynamical systems, time series analysis, graph theory, partial differential equations (computational) and statistical and machine learning.
Candidates should have received or expected to receive PhD degree or equivalent in mathematics, physics, CS, EE, statistics, biomedical engineering, psychology, neuroscience or related areas. Previous imaging research experience is a plus but not necessary but programming skill is a must. Interested candidates should email CV (with the name of references) and representative papers to mkchung@wisc.edu. There is no deadline for the positions and we are hiring year round. However you should apply for the position immediately for chance. The following are two recent TDA papers from our group: Topological learning on networks (Annals of Applied Statistics: arXiv: 2012.00675), Hodge Laplacian for higher order network connectivity (IEEE Transactions on Medical Imaging: arXiv:2110.14599).