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Group Details

Geometric Science of Information

The objective of this group is to bring together pure/applied mathematicians, physicist and engineers, with common interest for Geometric tools and their applications. It notably aim to organize conferences and to promote collaborative european and international research projects, and diffuse research results on the related domains. It aims to organise conferences, seminar, to promote collaborative local, european and international research project, and to diffuse research results in the the different related interested domains.

  • Geo-Sci-Info

    Two PhD positions in Deep Learning at the Idiap Research Institute, Switzerland[1], starting as early as possible but can be delayed if necessary.

    ** Please apply on-line at **

    The Machine Learning group at the Idiap Research Institute[2], affiliated with École Polytechnique Fédérale de Lausanne[3], seeks two PhD students in deep learning and computer vision to work on real-time semantic segmentation.

    The candidates will be doctoral students at EPFL[4,5], working under the supervision of Dr. François Fleuret[6] at the Idiap Research Institute.

    Applicants must be self-sufficient programmers and have a strong background in mathematics. They should be interested in, and familiar with, applied probabilities, information theory, signal processing, optimization, algorithmic, and development in deep-learning frameworks.

    The Idiap Research Institute is located in Valais[7], a scenic region in the south of Switzerland, surrounded by the highest mountains of Europe, and within close proximity to Lausanne and Geneva. The working language of Idiap is English.


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  • Geo-Sci-Info

    IM-Simons postdoctoral Fellowship

    The Institute of Mathematics of the Vietnam Academy of Science and Technology (Hanoi) invites applications for 4 positions of the IM-Simons postdoctoral Fellowship Program, 2018-2019. The initial appointment will be for one year, with possibility of extension up to a second year. Renewal for the second year will depend on a comprehensive review of the scientific activity of the fellow.

    The targets of this program are:

    · to attract foreign young researchers to work at the institute,
    · to provide Vietnamese young researchers a bridge to a long-term scientific career.


    Applications are invited from qualified researchers under 40 years of age who have submitted the doctoral thesis or have a PhD degree in mathematics no more than five years before the deadline of the application. Preferences will be given to research areas of the institute, see the website

    Salary and benefits

    The salary will be 1.000 USD per month and a subsidy of 2.000 USD per year for accommodation. In addition, the fellows will receive a round flight ticket and a research grant up to 1.000 USD per year for attending conferences and small equipments.

    How to Apply

    Interested candidates should submit the following documents to im_simons [at]

    · Curriculum Vitae;
    · List of publications;
    · A research proposal (no more than four pages);
    · Two recommendation letters.

    The submission deadline is July 15, 2018. Applications will be considered until the positions are filled. The expected starting date of the fellowship is September 1, 2018. Informal queries should be sent to the above email address.

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  • Geo-Sci-Info

    The Universities of Pavia and Milano-Bicocca have a joint PhD program in Mathematics, with the contribution of INdAM:

    The call for admissions 2018 is open (deadline June 7, 2018). A total of 13 fellowship are available in all domains of Mathematics, including Probability and Statistics. For more information, see the official pages:
    (english version - details for Mathematics at page 26 of the Call)
    (versione italiana - scheda per Matematica a pag. 30 del Bando)

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  • Geo-Sci-Info


    Bernoulli Lecture - What is Probability?
    27 March 2018 - CIB - EPFL - Switzerland
    17:15 - 18:15
    Room : BCH 2201

    Mikhail Gromov, Université Paris-Saclay

    Download the PDF of the lecture

    The success of probability theory in mathematics and in theoretical physics is due not so much to its measure-theoretic foundation, but rather it is because it exploits and enhances the symmetries of the structures it applies to. We shall describe in this lecture two alternative approaches to the concept of probability, where

    • the first one is motivated by the ongoing revision of the set-theoretic language in mathematics, as it is being systematically superseded by the category-theoretic one;

    • the second approach is motivated by the needs of biology and linguistics, where the structures do not possess symmetries of the kind physical structures enjoy.


    posted in Bernoulli Lecture: Alternative Probabilities. M. Gromov read more
  • Geo-Sci-Info

    PDF of the announce

    PhD project in spatial statistics and stochastic geometry
    Spatio-temporal modeling and simulation of agricultural landslides, with an
    application to pest regulation

    Thomas Opitz, Julien Papaı̈x (BioSP, INRA Avignon, France); Édith Gabriel (Université
    d’Avignon, France)

    Motivation : agro-ecology
    In agroecosystems, species interactions between pests and auxiliaries are often strongly influenced
    by the proportion and spatial organization of semi-natural elements of agricultural landscapes.
    By conducting sensitivity analyses for biological control strategies of pests with respect to the
    composition and configuration of agricultural landscape elements, it will be possible to assess the
    effect of such interactions and to improve existing strategies of biological control.
    Research questions : stochastic geometry and sensitivity analysis
    This PhD project proposes to utilize methods from the field of stochastic geometry to model and
    simulate realistic agricultural landsapes through the development of models based on a small
    number of interpretable parameters characterizing the landscape structure. Mathematically, we will
    represent a study region as a tessellation of space, whose edges and cells are the spatial support for
    other elements such as hedgerows (i.e., linear segments) and crop types. A first goal of the thesis
    will be to propose realistic stochastic generator models for linear segments (hedges, ditches,
    grassy field margins...), and for the occupation of agricultural fields by various crops, while
    taking into account crop rotation. Our approaches will be based on censored Gaussian random
    fields and on marked Gibbs point processes.
    In the following step, in order to model the spatial distribution of species, we will couple partial
    differential equations (PDEs) in 2D for modeling the population dynamics within the fields with
    PDEs in 1D for the dynamics on linear elements. This approach allows studying the size and the
    spatial distribution of the species populations with respect to geometric characteristics of the land-
    scape such as the density and the connectivity of the hedgerow network. By simulating a multitude
    of scenarios, the sensitivity of population dynamics with respect to landscape structure
    will be studied. The framework of stochastic simulation makes it possible to quantitatively assess
    the part of uncertainty related to landscape.
    In the applied part of the thesis, the methodological results will be applied to the study region
    “Basse Vallée de la Durance” with the pest “codling moth” and its auxiliary species in apple
    Candidate profile : Statistician with interest in spatial modeling and ecology.
    Knowledge of fundamentals of spatial statistics and/or stochastic geometry and of the R program-
    ming language is appreciated.

    The successful candidate will become part of the Biostatistics and Spatial Processes lab (BioSP)
    of INRA Avignon. The starting date is October 2018. This PhD project will be supervised by
    Julien Papaı̈x (julien.papaix [a], Thomas Opitz (thomas.opitz [a] and Edith Gabriel
    (edith.gabriel [a] To apply, please contact the supervisors by providing a detailed
    CV, a motivation letter and a recommendation letter from at least one former supervisor / professor.

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  • Geo-Sci-Info

    Prix de Thèse Systèmes Complexes 2018


    Dans le cadre de leur politique d’encouragement de l’enseignement et de la recherche, l’Institut des Systèmes Complexes de Paris Île-de-France (ISC-PIF) et le Réseau National des Systèmes Complexes (RNSC) organisent la deuxième édition du Prix de Thèse Systèmes Complexes en juin 2018.

    Ce prix de thèse a pour objectif de mettre à l’honneur la recherche dans le domaine des systèmes complexes et de distinguer les travaux de jeunes chercheurs·euses particulièrement prometteurs·euses.
    Le concours

    Ce concours est ouvert à toute personne, quelle que soit sa nationalité, ayant soutenu une thèse de doctorat dans une école doctorale française après le 1er janvier 2017.

    Les candidats·tes doivent remplir leur candidature en ligne à partir du 1e mars 2018 et avant le 30 avril 2018 à minuit :

    Le jury

    Les dossiers seront sélectionnés au cours du mois de mai 2018 par un jury interdisciplinaire composé de personnalités reconnues dans le domaine des systèmes complexes. Les critères pris en compte par le jury pour sélectionner les lauréats·tes sont, notamment, l’importance et l’originalité des contributions dans le domaine des systèmes complexes, la qualité du manuscrit et l’interdisciplinarité éventuelle des travaux.

    Les finalistes seront invités·ées à venir présenter leurs travaux accompagnés·ées de leur(s) directeur·trices(s) de thèse lors de la cérémonie de remise des prix, en juin 2018.
    Eléments demandés

    Pour remplir le dossier de candidature, vous aurez besoin des éléments suivants :

    – le lien du site sur lequel est publié/stocké votre thèse. Votre thèse doit pouvoir être téléchargée en format pdf.
    – Un CV, 2 pages maximum, en anglais ou en français.
    – Une lettre de motivation : 2 pages maximum, en anglais ou en français. La lettre de motivation doit expliciter notamment le positionnement de la thèse vis-à-vis des principaux “objets” et “questions” définis par la feuille de route systèmes complexes, ainsi que les aspects interdisciplinaires éventuels de la thèse et les apports pour l’étude des systèmes complexes
    – Le rapport du jury de thèse et pré-rapports des rapporteurs.
    – Le résumé de la thèse. En deux pages maximum, accessible à des non spécialistes du sujet traité.

    ISC-PIF, 113 rue Nationale
    Paris 13

    Cet événement Prix de Thèse Systèmes Complexes a été réalisé avec le soutien du DIM Problématiques transversales aux Systèmes Complexes.

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  • Geo-Sci-Info

    Capture du 2018-04-09 10-48-12.png





    L'objectif de cette école est de donner aux étudiants et jeunes chercheurs de la sous-région Afrique centrale une formation de qualité en topologie algébrique et en géométrie, sur des sujets faisant l'objet de recherches actuelles dans les domaines de la recherche fondamentale en mathématiques, de la physique mathématique et de la robotique.
    Quoique portant sur des sujets avancés et actuels, les cours seront conçus pour être accessibles aux jeunes mathématiciens. Les cours de la première semaine viseront en particulier à donner des bases solides et systématiques sur les sujets concernés, de façon à les rendre accessibles à tous les participants, même sans connaissances préalables au-delà des bases classiques en algèbre, topologie ou géométrie.
    Le but principal de l'école est de les motiver au maximum et de leur donner les outils nécessaires pour leurs futures recherches. L'un des objectifs fondamentaux de cette école sera ainsi de donner aux participants de la sous-région des pistes de recherches d'actualité et intéressantes pouvant déboucher sur des résultats susceptibles de contribuer au développement de la sous-région.
    La majorité des cours qui y seront dispensés porteront sur la topologie algébrique. Plus précisément, on s'intéressera aux espaces de configurations qui apparaissent en mathématique, en physique classique, en statistique, en robotique, en biologie, en mécanique classique et en mécanique statistique. Seront principalement abordées les notions suivantes: Outils de Topologie algébrique, Espaces de configuration, Opérades algébriques, Opérade des petits disques, Géométrie de Poisson et Quantification géométrique. Ces notions seront présentées dans un langage « simple », en une série de 7 cours de 6 heures avec travaux dirigés, chacun par des spécialistes reconnus. Les après-midi seront essentiellement réservés aux travaux dirigés, aux exposés et échanges entre participants.


    Coordinateurs :

    Bitjong NDOMBOL (Université de Yaoundé 1)
    Frédéric PATRAS (CNRS - Université de Nice)

    Comité d'organisation local :

    Calvin TCHEKA (Cameroun)
    Charles AWONO ONANA (Cameroun)
    Joseph DONGOH (Cameroun)
    Bitjong NDOMBOL (Cameroun)
    Anne Marie TIAYA (Cameroun)

    Comité scientifique :

    Cristina COSTOYA (Espagne)
    Bitjong NDOMBOL (Cameroun)
    Michel NGUIFFO BOYOM (France)
    Eugène OKASSA (Congo)
    Frédéric PATRAS (France)

    L'école est soutenue par:

    CIMPA/ICPAM (Centre International de Mathématiques Pures et Appliquées/International Center for Pure and Applied Mathematics)

    IMU-CDC (Union mathématique internationale, Commission for developing countries)

    Université de Yaoundé 1

  • Geo-Sci-Info


    Le laboratoire de mathématiques et applications (LMA) de l'Université de Poitiers disposera d'au moins un poste d'ATER 25/26 l’an prochain.

    La période d'inscription s'étend du 20 mars 2018 (10h) au 10 avril 2018 (16h).

    La nouvelle procédure de recrutement est entièrement dématérialisée et s'effectuera en deux étapes :

    Les informations relatives à cette campagne sont en ligne sur le site Internet de l'Université.

    Pour toute question administrative, les candidats pourront adresser leur demande à l'adresse suivante :

    Les contacts pour le poste au LMA sont Julien Michel pour le département de mathématiques, julien.michel [at], et

    Alessandra Sarti, alessandra.sarti [at] pour le laboratoire.

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  • Geo-Sci-Info

    Geometric Analysis of Multimedia Data: Geometry as a Paradigm for Machine Learning and Data Mining in Multimedia Systems

    Call for Papers

    Nowadays, multimedia systems require processing, representation, storage, and transmission of large amount of multidimensional digital information, possibly sampled from nonlinear manifolds. On top of that, multimedia applications involve the computer-controlled integration of text, graphics, images/video, and audio represented in digital form with the goal of letting the user navigate, interact, create, and communicate insights inferred from sources of raw information. The complex tasks involved in such processes lead to a strong demand for multimedia data analysis and information extraction/retrieval.

    In this context, manifold learning techniques have been applied to embed nonlinear data in lower dimensional spaces for subsequent analysis. The result allows a geometric interpretation of information with relevant consequences regarding data topology, sampling theory, similarity computation, pattern recognition, and, more recently, deep learning. Yet in the direction of using geometry as a paradigm for machine learning and data mining, we shall include the geometric data analysis and the development of tools for studying geometric features of data through topological data analysis.

    The main goal of this special issue is to explore geometric concepts for analysis, data representation and integration, information extraction, and retrieval from multimedia systems. We encourage submissions that combine geometric concepts, data representation techniques, and machine and statistical learning methods, for extracting meaningful information from high-dimensional data spaces. Review articles that describe the current state of the art in geometric analysis of multimedia data are welcome as well.

    Potential topics include but are not limited to the following:

    • Geometric analysis of deep hierarchical structures in multimedia
    • Generative models and manifolds for multimodal information retrieval
    • Data models integrating geometry, multivariate statistics, and sampling theory
    • Topological data analysis for studying geometric features of data
    • Multimedia data mining and analysis based on geometry and topology
    • Multimedia data analysis based on manifold learning
    • Geometric based approaches for metric learning
    • Geometry as a paradigm to discuss deep learning algorithms in multimedia applications

    Authors can submit their manuscripts through the Manuscript Tracking System at
    Submission Deadline Friday, 10 August 2018
    Publication Date December 2018

    Papers are published upon acceptance, regardless of the Special Issue publication date.

    Lead Guest Editor
    Gilson A. Giraldi, National Laboratory for Scientific Computing, Petrópolis, Brazil

    Guest Editors

    posted in Geometric Analysis of Multimedia Data: Geometry as a Paradigm for Machine Learning and Data Mining in Multimedia Systems read more
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