Thematic Einstein semester in 2020

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CALL FOR PARTICIPATION
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We wish to announce the upcoming

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  Thematic Einstein Semester

      “Geometric and Topological Structure of Materials”

  TU Berlin, Summer 2020

https://www3.math.tu-berlin.de/TES-Summer2020/

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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.

Activities:
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Phase I, Spring 2020:

  * TES block course “Stochastic Topology”
    (March 16-20, 2020).
https://www3.math.tu-berlin.de/TES-Summer2020/TES_Block_Course_Stochastic_Topology.html

  * TES conference “Structure of Materials”
    (March 23-27, 2020).
https://www3.math.tu-berlin.de/TES-Summer2020/TES_Conference_Structure_of_Materials.html

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).

Organizers:
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  Myfanwy Evans (TU Berlin)
  Kathryn Hess Bellwald (EPFL)
  Frank Lutz (TU Berlin)
  Dmitriy Morozov (LBNL)
  Ileana Streinu (Smith College)

PhD position in TDA/computational biology at EPFL

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.

Interested potential candidates are encouraged to contact me for more information. The application deadline is December 15. Further information about how to apply can be found here.

PhD summit on intelligent Systems, 2 – 4 October 2019 at EPFL

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/


Professorship in statistics at EPFL

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.

Professorship in computational biology at EPFL

The EPFL has decided to make a considerable investment in computational biology over the next few years.  As part of that effort, we are currently recruiting a tenure-track assistant professor or associate professor in computational biology.


The person recruited for this person does not have to be a biologist per se, but could be a mathematician, physicist, or computer scientist with strong interest in and considerable experience with applications to biology. 


For further information, please see the official announcement.   Note that the application deadline is January 15.


Please feel free to write to Kathryn Hess (kathryn.hess@epfl.ch) if you have any questions.