Positions available

The Laboratory for Topology and Neuroscience (EPFL) and L2F—Learn to Forecast (EPFL Innovation Park) invite applications for two postdoctoral positions in topological data analysis and machine learning, funded by the project “Topological Warning Signals for Critical System Transitions” supported by Innosuisse (Swiss Innovation Agency).


The aim of this project is to develop original predictive methods, combining advances in topological data analysis with machine learning research. The first goal of the project, inspired by critical phase transitions, is to define a new type of early warning signal using applied topology, in order to better anticipate sudden changes of regime such as financial crashes, earthquakes, or epileptic attacks. The second goal concerns the creation of new local features by analyzing the topology of datasets, in order to generalize current topological data analysis techniques to enhance the performance of machine learning models.


L2F is a research-driven company that offers mathematically sophisticated machine learning solutions to corporate and institutional clients. L2F’s researchers, who won the 2017 NYC Taxi Challenge on Kaggle, are motivated by the desire to understand the fundamental laws of machine learning, in terms of its underlying mathematical theory. L2F is one of the fastest growing Swiss companies, with already 30 employees after one year of existence, and provides an exciting environment for multi-disciplinary researchers.


The appointed candidates will be based at L2F on the EPFL Innovation Park and engage in state-of-the-art research, in collaboration with the Laboratory for Topology and Neuroscience.


Candidates should hold a PhD in one of the following areas: algebraic topology, theoretical physics, or machine learning. Please send your cover letter, CV, and publication list to Kathryn Hess at kathryn.hess@epfl.ch  and Maxime Gabella at m.gabella@l2f.ch, to whom you should arrange for three letters of reference to be sent as well.


Starting date: March 1, 2019, or as soon as possible thereafter.
Duration: 18 months.
Application deadline: January 1, 2019.






Post-doctoral positions at École Polytechnique Fédérale de Lausanne (EPFL) and Université de Lille (ULille) are available in the framework of the research project “Operads, Calculus, and Homotopy theory methods in Topology (OCHoTop)”.

Each partner of the project intends to hire one postdoc for academic year 2019-2020 (one in Lausanne, one in Lille), with a possibility of contract renewal for one year with the other project partner. We are interested in research proposals related to any of the OCHoTop project topics. Priority consideration will be given to applications received by January 18, 2019, for a contract starting in Fall 2019, with a research plan for two years involving both project partners. Nevertheless, it will remain possible to apply for postdoc stays after this date, and we are open to other propositions of integration into our project.

Feel free to e-mail ochotop@univ-lille.fr for further information.  To apply, fill out the application form, which will include submitting the following documents.

• a cover letter
• a CV and list of publications
• a research program, indicating your motivations for joining the OCHoTop project and your requested periods of residence at EPFL and ULille (preferably one year in each partner), and your long-term career objectives
• any other document that may support your application.


At most three letters of reference (at least one of which should be from the PhD advisor) should be sent to the address above.