Researchers working at the interface of TDA and the life sciences are warmly encouraged to submit an article to the special issue of Entropy on applications of topological data analysis in the life sciences, guest edited by Pablo Camara and Kathryn Hess. The submission deadline is 30 November 2021.
The algebraic topology group of the Ecole Polytechnique Fédérale de Lausanne (EPFL) invites applications for two full-time postdoctoral positions in algebraic topology, both pure and applied.
These two-year positions have a starting date of 1 September 2021 and are open to all candidates with a PhD from no earlier than 2017 who have shown promise of research excellence in pure or applied topology.
In addition to research, duties of the future postdoc will include teaching within the framework of the Mathematics Section of the EPFL.
EPFL salaries are highly competitive. The topology group has considerable travel money available for postdocs, as well as a generous budget for inviting guests throughout the year.
Applications, including curriculum vitae, publication list, research plan, and three reference letters, must be submitted by April 1 via the on-line application form.
For more information, please contact Kathryn Hess or Jérôme Scherer.
A virtual Hot Topics workshop on Topological Insights in Neuroscience will be hosted by MSRI, May 3 – 7, 2021. The talks in this workshop will present a wide array of current applications of topology in neuroscience, including classification and synthesis of neuron morphologies, analysis of synaptic plasticity, algebraic analysis of the neural code, topological analysis of neural networks and their dynamics, topological decoding of neural activity, diagnosis of traumatic brain injuries, and topological biomarkers for psychiatric disease. Some of the talks will be devoted to promising new directions in algebraic topology that have been inspired by neuroscience.
• Ann Blevins (University of Pennsylvania)
• Benjamin Dunn (NTNU)(TBC)
• Daniela Egas Santander ( EPFL)
• Tim Gentner (Univ. California, San Diego)(TBC)
• Vladimir Itskov (Pennsylvania State University)
• Lida Kanari (EPFL)
• Matilde Marcolli (California Institute of Technology)
• Ezra Miller (Duke University)
• Konstantin Mischaikow (Rutgers University)
• Alice Patania (Indiana University)
• Jose Perea (Michigan State University)
• Xaq Pitkow (Rice University)(TBC)
• Manish Saggar (Stanford University School of Medicine)
• Martina Scolamiero (Royal Institute of Technology (KTH))
• Tatyana Sharpee (The Salk Institute for Biological Studies)
• Katharine Turner (Australian National University)
• Bei Wang (University of Utah)
• Yusu Wang (Univ. California, San Diego)
Registration is now open, on the workshop webpage. This workshop will be held online, in Pacific Standard Time. The Zoom link will be provided at a later time. You must register for the workshop to receive the password.
We look forward to welcoming you to the workshop!
Carina Curto, Chad Giusti, Kathryn Hess, and Ran Levi
A virtual workshop on Topological Data Analysis will be hosted by the new Institute for Mathematical and Statistical Innovation, April 26 – 30, 2021. This workshop will consist of a small number of plenary one-hour lectures by leading researchers in the field, a larger number of contributed short talks from early-career researchers, live demos of software, a problem session, and a poster session. The speakers will cover a wide range of topics, from theory to concrete applications of TDA in science and engineering.
The goals of the workshop are to foster scientific interactions across the growing breadth of the applied topology community and to provide an opportunity for algebraic topologists, statisticians, and data scientists curious about this dynamic new field to learn more about it.
Confirmed speakers include:
• Lorin Crawford (Microsoft Research New England)
• Sara Kalisnik (Bentley University)
• Facundo Memoli (Ohio State)
• Ezra Miller (Duke University)
• Anthea Monod (Imperial College London)
• Elizabeth Munch (Michigan State University)
• Vidit Nanda (University of Oxford)
• Katharine Turner (Australian National University)
• Yusu Wang (UC San Diego)
Registration is now open, on the workshop webpage.
We look forward to welcoming you (virtually only, sadly) to the workshop.
Brittany Fasy, Kathryn Hess, Matt Kahle, Sayan Mukherjee, and Jose Perea
There is a two-year instructorship in applied and/or computational mathematics available at EPFL, with an open starting date. Applications from specialists in applied topology are welcome.
The official job announcement can be found at this link.
The application deadline is December 1.
CALL FOR PARTICIPATION
We wish to announce the upcoming
Thematic Einstein Semester
“Geometric and Topological Structure of Materials”
TU Berlin, Summer 2020
This third Berlin Thematic Einstein Semester is devoted to recent
developments in the field of computational materials science.
It aims to bring together experts from the sciences with experts
from computational topology, computational algebraic, discrete
differential and stochastic geometry working on the structure
and function of materials.
The semester is organized within the framework of the Berlin Mathematics
Research Center MATH+ and is supported by the Einstein Foundation Berlin.
Phase I, Spring 2020:
* TES block course “Stochastic Topology”
(March 16-20, 2020).
* TES conference “Structure of Materials”
(March 23-27, 2020).
Phase II, Summer 2020:
* Meeting of Women in Computational Topology (WinCompTop)
(August 19-21, 2020).
* TES conference “Geometric and Topological Structures”
(August 24-28, 2020).
* TES block course “Computational Topology and Machine Learning”
(August 31 – September 4, 2020).
Myfanwy Evans (TU Berlin)
Kathryn Hess Bellwald (EPFL)
Frank Lutz (TU Berlin)
Dmitriy Morozov (LBNL)
Ileana Streinu (Smith College)
With the framework of the International Training Network CANCERPREV, I will supervise a PhD student to work on a project concerning “Detection of cyclic changes in gene expression by topological data analysis”. The student will most probably be affiliated with our new PhD program in computational biology.
The School of Engineering of EPFL in Switzerland is pleased to announce the 2nd edition of the annual Engineering PhD Summit, a workshop for final year PhD students. This year the summit will focus on “Intelligent Systems”, i.e., software and/or hardware systems that can interact with their dynamic environments, process data, perform proper actions, and improve over time, see https://phdsummit.epfl.ch/intelligent-systems/
- Workshop dates: October 2-4, 2019
- Deadline for application: May 31st, 2019
Top final year PhD students from around the world are invited to apply. Up to 20 candidates will be selected on a very competitive basis and invited to EPFL Switzerland, where they will get the opportunity to present their research and get informal feedback from top faculty members. Each accepted student will be given the opportunity to visit EPFL laboratories related to the summit theme and have intensive exchange with the lab head and the students. The PhD Summit prize for the best presentation and research content will be awarded at the end of the workshop. Funds for travel and accommodation will be provided for the selected candidates.Visit the Engineering PhD Summit website: https://phdsummit.epfl.ch/
More details about the application process: https://phdsummit.epfl.ch/application-process/
The Blue Brain Project is currently recruiting several postdocs, including one in computational generation of axonal morphologies, for which skills in algebraic topology are specifically requested.
Please feel free to write to me at email@example.com if you have any questions.
The math department at EPFL has just announced the following search for a tenure-track assistant professor of statistics, which may be of interest to the more statistically minded subscribers to this page.
The Institute of Mathematics of the School of Basic Sciences at EPFL invites applications for a Tenure Track Assistant Professorship in Statistics. In exceptional cases, appointment at the senior level may be considered.
We seek outstanding candidates with research interests in the development and application of novel statistical methodology,including candidates focussing on a substantive application area. Indicative methodological interests include large scale and causal inference, computationally intensive inference, and nonparametric inference. Indicative areas of application include, but are not limited to, biomedical science, genetics/genomics, environmental and earth science, physics and astronomy.
Application deadline is October 1.