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  • pparrend

    Author: Yves Gendrault
    Slides: PDF
    Presentation: Video

    posted in 4P-Factory Workshop 2017 read more
  • Geo-Sci-Info

    Dear Madam or Sir,

    The FSMP offers postdoctoral positions of one or two years in mathematics and computer science available from october 2018. 20 postdoctoral years will be provided in total.
    Find here the detailed offer:
    Online applications until December 1st:

    Please forward this information to your students or to any interested person.

    Best regards,

    Nous vous rappelons que la FSMP offre 20 années postdoctorales en mathématiques et en informatique fondamentale. D’une durée d’un ou deux ans, les postes seront à pourvoir à partir de la rentrée 2018.
    Voir l’offre détaillée ici :
    Les candidatures se font uniquement en ligne jusqu’au 1er décembre 2017 ici :

    N’hésitez pas à transmettre cette information à vos contacts - notamment étrangers - susceptibles d’être intéressés.

    Bien cordialement,

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  • pparrend

    Author: Pierre Parrend
    Presentation: Video
    Keywords: Complex Systems, Engineering, System Dynamics, Evolutionary Algorithms, bio-inspired computation

    The third Workshop of the 4P-Factory e-laboratory of the Complex System-Digital Campus features both fundational contributions as well as well-tested engineering approaches which leverage the lattest advances of Complex System Science for understanding, coordinating and building emergent artificial systems. This talk provides a rapid introduction to Complex System Engineering and an overview of the numerous tools this emerging field provides to the community of engineers and scientists for creating disrupting products and services.

    posted in 4P-Factory Workshop 2017 read more
  • pparrend

    Author: René Doursat, Professor of Complex Systems & Co-Director, Informatics Research Centre, School of Computing, Mathematics and Digital Technology, Manchester Metropolitan University, Manchester, UK
    Web page:

    How do cells assemble together so precisely to form a living organism? How do social insects build intricate nests on their own? These two major examples of architectures without an architect, or “morphogenetic self-organisation”, constitute a great source of inspiration toward innovative technologies based on collective intelligence. In this context, my research aims to establish two-way bridges between computer models of biology and biological models of computing. Potentially impacting many domains, it fosters the development of virtual evo-devo experiments, swarm robotics, synthetic biology, and socio-technical networks. All these complex systems demand a new type of engineering attitude, one that only facilitates the emergence and evolution of functional structures, not directly specifies them.

    posted in 4P-Factory Workshop 2017 read more
  • pparrend

    Autor: Marion Gstalter, PhD Student, Grégoire Chabrol, Senior Lecturer at ECAM Strasbourg-Europe
    Slides: PDF
    Presentation: Video
    Keywords: Femtosecond laser pulses, glass, micro-welding, process industrialization

    We report on glass plates welding using femtosecond laser pulses. We use an industrial laser station including an Yb-laser generating 300 fs duration pulses at 500 kHz repetition rate. Welding seams are inscribed on optically contacted borosilicate thin plates by raster scanning parallel lines at 50 mm/s speed with 3 μJ pulse energy. The welding seams are characterized using optical microscopy, photoelasticimetry and tensile test to obtain information about the morphology, residual stress and tensile resistance of the samples. Development towards industrialization are also investigated.

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  • pparrend

    Author: Jean Vieille
    Slides: PDF
    Presentation: Video

    Intelligence is a loosely defined concept, intrinsically bounded by the intellect of the entity who thinks about it, hidden in the complexity of the organism being considered.
    Artificial intelligence is a recent science that attempts to mimic or surpass human’s in a search for algorithms that would make computers smarter.
    Intelligence is often quoted in the context of industrial systems to recognize big data collecting and crushing capabilities to optimize processes, improve decision making.
    In these cases, intelligence is studied in human and computer sciences to design efficient education patterns of computing algorithms.
    We suggest to focus the study of intelligence exhibited by socio-technical systems such as industrial enterprises et networks in order to figure out what intelligence means for them, how it can be leveraged and developed for the good of these systems and their social, economic and environmental supra-systems.
    The report is a work in progress gathering 15 years of observation and research, not exposing conclusive statements. It aims to raise the interest of researchers and industrialists in the real challenge of information technologies and sciences of organization beside new technology hypes and trendy organization strategies. It will summarize or open discussion on the following points:
    • Nature and continuum of information
    • Place of intelligence in the information continuum, definitions,
    • How intelligence is manifested in nature
    • What is an intelligent enterprise?
    • How to assess enterprise intelligence?
    • How to develop enterprise intelligence?
    • Relevant science domains
    • Practical use of this report

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  • pparrend

    Author: Claudia Eckert, Prof of Engineering and Innovation, the Open University
    Presentation: PDF Slides

    Engineering design combines existing and innovative or new elements. There is a huge variation in the decree of reuse of existing design solution in engineering design projects ranging from small tweaks to complete new developments which incorporate standard parts. Most complex products, such a cars or aircraft have a very high percentage of existing components or solution principles. This has a profound effect on the engineering design processes. Throughout the process engineering designers have to handle information at varying decree of uncertainty and detail. Throughout engineering design processes requirements can still change and changes can affect parts of the product that have already been assumed to be finished. This makes engineering design processes extremely fluid as decisions are made and unmade until the end of the process. While the engineering design processes have real and objective existence, they are also very difficult to capture and express, as individuals only sees elements of the processes and prioritise different elements. This makes design processes difficult to understand and improvement, yet effective design processes are vital for industry to succeed.

    posted in 4P-Factory Workshop 2017 read more
  • Geo-Sci-Info

    Applications are invited for a Lectureship position in the School of Mathematics at the University of Birmingham, in the area of Probability and Modern Statistics, broadly defined, including any area of statistics, probability theory, computational data analysis, machine learning, or related areas.

    The successful candidate will develop a vibrant research program and teaching curriculum in Probability and Modern Statistics. The successful candidate will have a PhD (or equivalent) in a branch of Mathematics or a related area, a first-class research record and a commitment to teaching, along with excellent communication skills.

    The appointee will be expected to expand or complement present research areas in the School, develop research collaboration inside and outside the School and University, and assist in the design, development and delivery of teaching in Mathematics.

    Informal enquiries can be made to Professor Deryk Osthus, d.osthus [chez]

    To download the details of this position and submit an electronic application online please go to this website, please quote Job Ref 58183 in all enquiries.

    posted in Jobs offers - Call for projects read more
  • Geo-Sci-Info

    Post-doc: Vision et apprentissage statistique appliqués à la détection d'OFNI

    Le CMLA (ENS Paris-Saclay), en collaboration avec iXblue, recherche un jeune chercheur pour un post- doc dans le domaine de la vision et de l'apprentissage statistique, dans le cadre de la détection d'objets en milieu marin.

    Présentation des partenaires

    Le CMLA ( est un laboratoire de Mathématiques Appliquées, unité mixte du CNRS et de l'ENS Paris-Saclay, qui est composé de plusieurs équipes, spécialisées en particulier dans le traitement d'image et dans l'apprentissage statistique.

    IXBlue est une Entreprise de Taille Intermédiaire (ETI) Française créée en 2000 avec 15 salariés et comprenant aujourd’hui environ 600 salariés pour un chiffre d’affaire supérieur à 100 millions d’Euros. Spécialisé dans la conception et la fabrication d’équipements destinés aux domaines de la navigation, de l’imagerie sous-marine, des mesures océanographiques et du spatial, iXBlue réalise 80% de son chiffre d’affaire à l’export avec des produits entièrement conçus et fabriqués en France. Avec 20% de son chiffre d’affaire investit chaque année en R D, iXBlue mène une politique d’innovation très ambitieuse dans les domaines des capteurs, des logiciels de traitements et des plateformes du futurs.


    L’objectif de la recherche est de développer des algorithmes et logiciels de traitement numériques pour la détection d’OFNI (Objets Flottants Non Identifiés) à partir de données mixtes provenant à la fois de caméras installées à l’avant d’un bateau et imageant dans les domaines visibles et infra-rouge, et à partir d'images SONAR.

    Plus précisément, le candidat devra:

    • Evaluer les performances des détecteurs d'éléments caractéristiques et des descripteurs associés dans le domaine de vidéo (domaine visible et infra-rouge), ainsi que dans le domaine du SONAR
    • Développer des méthodes d'apprentissage statistique, tels que les réseaux de neurones convolutionnels, pour rendre plus performante la détection d'OFNI
    • Eventuellement développer des algorithmes de type "track before detect" pour limiter les faux positifs

    Les algorithmes développés seront intégrés dans un système de détection d'OFNI qui sera développé en vue du Vendée Globe 2020.

    Profil recherché

    Nous recherchons un jeune chercheur titulaire d'un doctorat en mathématiques appliquées, traitement de l'image ou apprentissage statistique, et possédant idéalement des compétences en vision par ordinateur.

    Le Français ou l'Anglais courant sont indispensables.

    Les candidats doivent avoir des compétences dans des langages de programmation tels que Matlab, Python, C/C++ et l'utilisation de la bibliothèque OpenCV.

    Informations pratiques

    Lieux : le post-doctorant travaillera sur 2 sites : celui du CMLA à l'ENS Paris-Saclay (Cachan) où il sera intégré à l'équipe de traitement d'images, et celui d'iXblue à St-Germain-en-Laye

    Durée: 2 ans; début ASAP

    Salaire brut: 40 k€ /an


    Dossier de candidature (CV, lettre de motivation, lettre de recommandation) à envoyer par mail à
    agnes.desolneux [ chez ] ET à jean-baptiste.lacambre [ chez ]

    Date limite de candidature: 20 décembre 2017

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  • Geo-Sci-Info

    2 Postdoctoral researchers in interactive AI and machine learning

    The positions belong to the Aalto career system and the selected persons will be appointed for a two-year fixed term appointment with an option for renewal.

    1. Probabilistic machine learning with human in the loop (Prof. Samuel Kaski)

    One of the core questions in machine learning at the moment is how to interact with humans.

    We turn this question into a probabilistic modelling problem, and model both the user and the task to drive the interaction. The solutions need combinations of probabilistic modelling, reinforcement learning and approximate Bayesian computation. We are looking for a postdoc who already masters some of these and offer an opportunity to learn the rest and work with us on this exciting bleeding-edge problem. Two recent sample papers:

    [1] Daee et al., Knowledge elicitation via sequential probabilistic inference for high-dimensional prediction. Machine Learning, 106: 1599–1620 (arXiv: 1612.03328)

    [2] Kangasrääsiö Kaski, Inverse Reinforcement Learning from Summary Data, arXiv:1703.09700

    1. Modeling and machine learning in HCI (Prof. Antti Oulasvirta)

    The position offers an exciting opportunity to learn about and work on applications of machine learning methods and computational models of cognition, perception, and behavior in interactive systems. For relevant previous papers of the team, example papers, see [1], [2], and [3].

    [1] IEEE TVCG 2017:

    [2] CHI 2017: type=pdf

    [3] IEEE Computer 2017:


    Should have a PhD in computer science, statistics, cognitive science, or other area relevant to the themes and publication record in top conferences or journals in machine learning, AI, statistics, cognitive science, or HCI. Good command of English is a necessary prerequisite.

    Compensation, working hours and place of work

    The salary for the position is between 3 498 and 3 673 EUR per month depending on experience and qualifications. In addition to the salary, the contract includes occupational health benefits, and Finland has a comprehensive social security system. The annual total workload of teaching staff at Aalto University is 1 600 hours. The position is located at the Aalto University Otaniemi campus.

    Application material and procedure

    Please send your application through the electronic recruitment system ‘Saima’ (see link at the bottom of the page) no later than Oct 31, 2017 Finnish time. Include your CV, list of publications, a brief research statement, transcript of the doctoral studies, and names and contact information of two senior academics willing to give more information.

    Short-listed candidates may be invited for an interview on the Otaniemi campus of Aalto University in Helsinki or for an interview conducted via Skype. While all applicants who have submitted an application by the deadline will be appropriately considered, Aalto University reserves the right to consider also other candidates for the announced position.

    Further information

    • Professor Samuel Kaski and Professor Antti Oulasvirta, e-mail "firstname.lastname [ chez ]" (research related information)
    • HR Coordinator, Mr. Stefan Ehrstedt, e-mail "firstname.lastname [ chez ]" (application process, practical arrangements)

    Application material will not be returned.

    Espoo, 13 Oct 2017
    Aalto University

    About Aalto University

    Aalto University is a new university created in 2010 from the merger of the Helsinki University of Technology, Helsinki School of Economics and the University of Art and Design Helsinki. The University’s cornerstones are its strengths in education and research, with 20,000 basic degree and graduate students. These positions are in collaborating groups of the Department of Computer Science and Department of Communications and Networking.

    About Helsinki

    The Helsinki Metropolitan area forms a world-class information technology hub, attracting leading scientists and researchers in various fields of ICT and related disciplines. Moreover, as the birthplace of Linux, and the home base of Nokia/Alcatel-Lucent/Bell Labs, F-Secure, Rovio, Supercell, Slush (the biggest annual startup event in Europe) and numerous other technologies and innovations, Helsinki is fast becoming one of the leading technology startup hubs in Europe. See more e.g. at

    As a living and working environment, Finland consistently ranks high in quality of life, and Helsinki, the capital of Finland, is regularly ranked as one of the most livable cities in the world. See more at and

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